Science topic

Silicon - Science topic

A trace element that constitutes about 27.6% of the earth's crust in the form of SILICON DIOXIDE. It does not occur free in nature. Silicon has the atomic symbol Si, atomic number 14, and atomic weight 28.09.
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I was reviewing recent results on Bruker D8 XRD with rotated in-plane stage.
Below is the XRD spectra measured in orthogonal stage rotation angles:
"zero" (as mounted on stage) - blue color and 90-degree rotation- red color:
(see attached figure)
Here the blue line demonstrates the large peak in 28.48 deg. It is a Silicon (111) peak, and we anticipate seeing this peak. However, this peak looks either to completely disappear after 90 deg rotation of stage. Peak at 22.2 deg, that apperent in red line belong to organic thin film on top and unrelated to substrate.
This does not really make sense as Silicon peak appearance (or shift) should not be dependent on stage rotation. For me it looks like that upon stage rotation of 90 degrees, the substrate somehow loose the diffraction condition. I suspect that something is wrong with these measurements, or I missing something in crystallography.
Did anyone got across the same problem with rotation stage? (I can test the bare Silicone substrate and record a Body plot for pure silicon substrate, 111 and 100)
Thank you
Vlad-
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In this picture I cut 2 lines the middle picture's values are accurate, but the right picture give a wrong value, I think it's a bug cause when I move my cursor to the right picture, it gives a correct data. But when I try to save the cutline as " .dat" file, the data all equal to the y axis of the cutline picture.
It's a simple simulation of TRAP Assist tunnelling. Wish to get any help. Thanks!
Here is the code:
go atlas
mesh width=1.0e4
x.m loc=0.0 spac=0.5
x.m loc=1.0 spac=0.5
y.m loc=-0.005 spac=0.0005
y.m loc=0.0 spac=0.0005
y.m loc=0.01 spac=0.001
y.m loc=0.1 spac=0.01
y.m loc=1.0 spac=0.1
region number=1 y.min=0.0 silicon
region number=2 y.max=0.0 y.min=-0.005 oxide
electrode name=gate y.max=-0.005 material=aluminium
electrode name=substrate bottom
doping region=1 uniform n.type conc=5.0e17
doping region=2 uniform tat.trap conc=1.0e19 acceptor sign=1.0e-13 sigp=1.0e-13 e.level=3
material material=oxide mc=0.5 mv=0.5 affinity=1.07
material material=silicon nc300=2.73e19 nv300=1.02e19
output con.band val.band traps.ft
models srh fermi ni.fermi itat.sc.el tat.slicepts=51
### SOLVE ###
solve vgate=1
save outf=e3_vg1.str
solve vgate=5
save outf=e3_vg5.str
solve vgate=10
save outf=e3_vg10.str
solve vgate=20
save outf=e3_vg20.str
tonyplot -overlay e1_vg1.str e1_vg5.str e1_vg10.str e1_vg20.str
tonyplot
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Unfortunately, I am not the right person to answer this question.
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Traditionally, we use silicon grease or gel, however, they are not available in my area.
I found silicon sealer.
Is it possible to be used as couplant for AE sensor?
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Vaseline makes a good couplant and is easily wiped off afterwards. Ideally in combination with magnetic holders.
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I am doing a project related to simulation crack propagation of silicon material using XFEM method on abaqus software and encountered an error. I hope you can help me.
I followed a similar video of yours to do this project. Link: https://youtu.be/RXz1-WiPn10?si=mVLzzuyoFExA1l9K
  • 1. This is model and properties (model picture and parameters properties)
  • 2. When I do silicon bending, the silicon is bent but no crack appears (error and simulation result)
I don't know where I'm going wrong. Is the material specification wrong or generated mesh is wrong?
Thank you very much
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error shows that you might have not assigned section
and also not defined crack tip location
you also need to define region to define enrich elements
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I am working on a project using Sentaurus TCAD to design a Silicon and Silicon-Germanium quantum well structure. Below is the physics configuration I have implemented:
Physics(Region = "R.emitterl1") {
HeteroInterface
}
physics(Region = "R.qbl1") {
HeteroInterface
Active(Type=QuantumWell)
QWLocal(
eDensityCorrection
hDensityCorrection
)
}
Physics(Region = "R.emitterl2") {
HeteroInterface
}
physics(Region = "R.qbl2") {
HeteroInterface
Active(Type=QuantumWell)
QWLocal(
eDensityCorrection
hDensityCorrection
)
}
Physics(Region = "R.emitterl3") {
HeteroInterface
}
I encounter the following error when selecting materials via the "include material" function:
“Regions adjacent to an active quantum well region must be semiconductor, and the keyword HeteroInterface must be specified in the physics section.”
Could you please assist me in resolving this issue? Specifically, I need guidance on:
  1. Properly defining the quantum well for Silicon and Silicon-Germanium.
  2. Correctly setting up the material properties to avoid this error.
Thank you in advance for your support. I appreciate any insights or documentation references that can help address this problem.
Best regards,
Yuan
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Many thanks
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Wet isotropic etching of silicon
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1) Are you sure these are particles coming from the target? It is common that the chamber walls get coated and if you don't clean the shieldings e.g. by sandblasting, the coating falls down. So, cleaning your walls regularly is key.
2) If your target really starts flaking of, especially in a reactive sputtering process, target poisoning may be what is going on. So performing a non-reactive sputtering process, a so-called pasting, may resolve that.
3) If you see holes in your target, there may have been oxygen enclosures. If that happens already at a fresh target stage, check the impurity specs and consider variation of the target supplier.
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Kindly share the ASTM or EN, DIN, JIS standard for Ferro Silicon Rare Earth for my research purpose.
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Akeel M. Kadim thanks for clarification sir, can you provide ASTM or EN, DIN, JIS standard for Ferro Silicon Rare Earth?
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I want to know more about silicon formation.
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A sedimentary quartz sandstone might not be very high grade, but if it turns into metamorphic quartzite it might get to be higher grade.
The Ordovician "silica sand" found in Manitoba, Canada is found on the surface and can be mined by open pit at a lower cost than looking for quartzite in the Canadian Shield (forested area with thick overburden and commonly lake cover).
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The silicon wafers (100) we bought came with no flat edge allowing to determine the crystalline orientation. Do you know a quick method that could allow us to know the orientation ? We cannot perform Laue backscattering on every single one.
The cleaving process is quite random and 1/3 of the time the wafer just explodes...
Thanks
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You might consider using X-ray diffraction (XRD) with a Theta Scan or Omega Scan. These methods can help determine the crystalline orientation without damaging the wafers.
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During an adsorption kinetics experiment, I observed that silicon adsorption in the soil started to decrease sharply after the first 30 minutes. I applied a 0.05 M NaCl solution containing 60 mg L⁻¹ of silicon to 1 g of soil, using sodium silicate and adjusting the pH to 5.5.
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Do you use dry soil? Maybe within the first 30 minutes, the soil is wetted and the adsorption takes places, but after 30 minuntes the wetting is not finished. So the wetting goes on, which means: water "dissapears" due to further wetting. This will increase the concentration of silicon in the bulk phase. So, you do not see a desorption but an onconcentration of silicon.
Just an idea....
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Does someone have an explanation for the time shift observed (approx. 20-25 min) on the graph below between (5 minute-average data):
- blue line = global horizontal irradiance (GHI) measured with the pyranometer of a CNR1 radiometer from Kipp and Zonen (thermopile type),
- yellow line = GHI measured with the pyranometer of a SP-110 pyranometer from Apogee (silicon cell type).
The two pyranometers are next to each other and log their data on different loggers.
It is not a problem of a clock shift because the variations in GHI between the two instruments match.
I also observe this shift on other clear sky days.
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A. Dhaundiyal thanks for your answer.
I have been wondering to what extent the spectral range difference could have an impact on the measurements between thermopile and silicon cell.
After some investigation with other researchers and a check of the instrument, we realised that the levelling of the instrument could have caused the shift of the peak.
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Hello!
I am trying to cure a large amount of PDMS in a platinum silicon mold. How long should I cure it for? It is a cone shape and has a thick base of about 8 mm and the end (top) portion is really thin: about 1 mm or a little less. I degassed it for about 3 hrs. I know the suggested is 30 mins but it wasnt ready until much later.
my plan was let it sit for 24 hrs at room temp then put In drying over at 60 degrees for a couple hours.
thoughts?
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So-called platinum-cured silicones are normally cured with a Pt-complex catalyst and the time for cure depends on the particular catalyst ranging from minutes to 24 hours at 50°. Usually solid Pt is not employed. An intro to the technology is found in the lit attached "Reactive Silicones" in the section es entitled vinyl silicones and hydride silicones. If you don't want to go deeply into the topic simply check the manufacturer's tech data sheet.
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go atlas simflags="-p 4"
mesh three.d
#
x.m l=-0.2 spac=0.02
x.m l=-0.02 spac=0.005
x.m l=0.02 spac=0.005
x.m l=0.2 spac=0.02
#
y.m l=-0.275 spac=0.02
y.m l=-0.135 spac=0.04
y.m l=-0.045 spac=0.005
y.m l=0.045 spac=0.005
y.m l=0.135 spac=0.04
y.m l=0.275 spac=0.02
#
#
z.m l=-0.1 spac=0.03
z.m l=-0.005 spac=0.001
z.m l=0.06 spac=0.005
z.m l=0.21 spac=0.2
z.m l=0.5 spac=0.2
#
region num=1 material= silicon x.min=-0.2 x.max=0.2 y.min=-0.275 y.max=0.275 \
z.min=0.21 z.max=0.5
region num=2 material= sio2 x.min=-0.2 x.max=0.2 y.min=-0.275 y.max=0.275 \
z.min=0.06 z.max=0.21
region num=3 material= poly x.min=-0.2 x.max=0.2 y.min=-0.045 y.max=0.045 \
z.min=-0.1 z.max=0.06
region num=4 material= hfo2 x.min=-0.025 x.max=0.025 y.min=-0.045 y.max=0.045 \
z.min=-0.005 z.max=0.06
region num=5 material= silicon x.min=-0.02 x.max=0.02 y.min=-0.135 y.max=0.135 \
z.min=0 z.max=0.06
region num=6 material= silicon x.min=-0.02 x.max=0.02 y.min=-0.275 y.max=-0.135 \
z.min=0 z.max=0.06
region num=7 material= silicon x.min=-0.02 x.max=0.02 y.min=0.135 y.max=0.275 \
z.min=0 z.max=0.06
#
elec num=1 x.min=-0.2 x.max=0.2 y.min=-0.045 y.max=0.045 z.min=-0.1 z.max=-0.1 name=gate
elec num=2 x.min=-0.02 x.max=0.02 y.min=-0.275 y.max=-0.045 z.min=0 z.max=0 name=source
elec num=3 x.min=-0.02 x.max=0.02 y.min=0.045 y.max=0.275 z.min=0 z.max=0 name=drain
#
doping uniform p.type conc=1.e17 x.min=-0.2 x.max=0.2 y.min=-0.275 y.max=0.275 z.min=0.21 z.max=0.5
doping uniform p.type conc=1.e17 x.min=-0.02 x.max=0.02 y.min=-0.135 y.max=0.135 z.min=0 z.max=0.06
doping uniform n.type conc=3.e22 x.min=-0.02 x.max=0.02 y.min=-0.275 y.max=-0.135 z.min=0 z.max=0.06
doping uniform n.type conc=3.e22 x.min=-0.02 x.max=0.02 y.min=0.135 y.max=0.275 z.min=0 z.max=0.06
save outf=fin_0.str
interface qf=3e10
contact name=gate n.poly
models conmob srh auger bgn fldmob print
solve init
method newton trap
solve vdrain=0.05
log outf=fin_0.log
solve vgate=0 vstep=0.05 vfinal=0.8 name=gate
extract name="vt" xintercept(maxslope(curve(v."gate",i."drain"))) \
- ave(v."drain")/2.0
quit
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I suggest to use the Linux version because it has more possibilities for simulating 3D structures.
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Hello everyone, I am simulating reflectance spectra (lambda range 400 nm to 1100 nm) of a periodic structure of dielectric spheres (triangular lattice of a monolayer) on a silicon substrate in "The COMSOL multiphysics wave optics module." The periodicity of the unit cell is around 400nm. I included diffraction orders and implemented PML. Instead of using silicon as a domain, I used impedance boundary conditions at the bottom with silicon material assigned to the boundary(exit). I am getting unphysical reflections at oblique incidence (not in normal incidence). But if I replace the sphere with the flat dielectric layer, those artifacts will not arise even at oblique incidence. It happened when I placed a sphere in the periodic structure.
Moreover, the sharp dips are red-shifting if the angle changes from 45 to 75 deg. Here, the impedance boundary is not the problem; when I simulated with a flat, thin film, I used the impedance boundary instead of the silicon domain. The results of the thin film matched the experimental data (I verified by implementing the silicon boundary; the results are the same in the case of thin film). The problem appears only for the sphere. Is there any way to solve this problem?
Thank you.
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Regarding the incident EM wave. Plane wave, E field along y direction(TE- mode) and k vector at an angle (varies from 0 to 75 deg) with z axis in xz plane. So, basically it a plane polarised (TE) waves with k in xz plane, making angle theta with z axis.
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I conducted an adsorption experiment of arsenic on soil in the presence of different doses of silicon as competing ions to see the effect of silicon on arsenic adsorption and desorption. I took 5 concentrations of silicon, namely 0, 1, 10, 100 and 1000 ppm. Although adsorption behaviour was correct and in line with what I expected to be in the presence of 0 to 100 ppm of silicon, I was shocked to see that in the presence of VERY high concentration of silicon i.e. 1000 ppm, the adsorption isotherms are showing opposite trends, the Langmuir bonding energy coefficient (Kl) shows the impossible negative value and the Freundlich exponential coefficient too showing values (more than 1). Why is this happening in the presence of a very high concentration of silicon as competing ion?
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Hello, very interesting question. What does "the Langmuir bonding energy coefficient (Kl) shows the impossible negative value" mean? Foremost, I would check how this "negative" coefficient was obtained. I hope it was not done by the data linearization (and a respective Langmuir model linearization) but through the direct non-linear data fit. It appears that with the rise of As (which one?) sorption isotherms go up (like in BET? as mentioned above by Jürgen Weippert?). It is not necessarily multilayer adsorption; such BET-like isotherms or the Freundlich models with exponent exceeding 1 may reflect lateral interactions in 'a monolayer" which enhance sorption with rise of As concentration or cooperative changes in a sorbent matrix (like in protein molecules where several molecules or ions interact stronger than each one taken separately). Both mechanisms lead to the Freundlich exponent exceeding 1. However, I understood that the major issue is why it happened at in particular high concentration of the competing anion (silicate?). There might be very many mechanisms difficult to address without knowing details but foremost it is important to know what was pH at high concentrations of "a competitor'? was it constant compared to other systems? pH may affect As speciation, soil organic matter dissolution, concentration of dissolved organic matter in solution phase, ionization of surface groups and precipitation of some components (capable of involving other components due to entrapment). I hope pH was always controlled and the same in the experiments which could help in the identification of mechanisms
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Hello all,
I am trying to determine the dependence of the energy gap of silicon as a function of temperature. In the literature, it is stated that the decrease in the energy gap of silicon with increasing temperature can be explained by thermal expansion and electron-phonon interaction.
First, I used the thermo_pw library (which uses the QHA approximation) to determine the lattice parameter of silicon as a function of temperature. Then, I ran the following calculations: SCF, NSCF, DOS, band, and finally plotband. I performed these calculations using the lattice parameters of Si corresponding to temperatures in a range from 4K to 800K. For this simulation, I am using PBE pseudopotentials, an ecutwfc of 25 Ry, and a unit cell with 2 atoms.
The problem is that the gap increases with temperature instead of decreasing. I obtained a gap of 0.6187 eV at 4K and 0.6315 eV at 800K.
I also tried calculating the band structure considering electron-phonon coupling using the EPW library, but the gap still increases with temperature.
Has anyone already tried to calculate the silicon gap as a function of temperature? What am I doing wrong?
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I found that to account for phonon effects, I needed to consider lattice vibrations. I performed MD calculations at different temperatures using a supercell of 512 atoms with PBE pseudopotentials, an energy cutoff of 25 Ry, and calculations at the gamma point only. Once the temperature was stabilized, I extracted 160 structures at each temperature.
For each structure, I ran an SCF calculation, and now I observe that the energy gap decreases with temperature. I am still waiting for all the SCF calculations to be completed, but currently, the average band gap is 0.54624 eV at 250K and 0.65271 eV at 4K.
Once all the calculations are done, I will correct the band gap using the GW method to obtain a better approximation.
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I need to measure carrier concentration profile in phosphorus doped poly-crystalline silicon thin film. Is there any group who has the facility to perform ECV ( electrochemical capacitance voltage) profiling measurement, preferably in Florida or nearby?
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Hello
We are in France. We usually make ECV profiling on silicon and III-V semiconductors. We would be very pleased to do measurements on your samples.
Best regards.
Bernard Sermage
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I need some help to solve this exercise, if possible.
we consider an n-doped amorphous silicon layer (silicon atomic density of 5e22/cm3) which displays a doping efficiency versus relative dopant concentration curve as displayed below. relative dopant concentration is given as the ratio of dopant atom density over silicon atomic density. the doping efficiency is the average number of charge carriers provided by one dopant atom at room temperature. this material has a dopant atom density of 5e19 /cm3, and an electron mobility of 0.5 cm2/vs.
what is the sheet resistance (rsheet, defined by resistivity divided by thickness) of a film of this material with a thickness of 100 nm?
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What is the point of posting an exam question that you may have go the answer to?
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I have a CVD-prepared material. The problem is that the LASER covers a smaller area than the islands, so I see localized effects. Sometimes, the intensity of the silicon peak is larger than the sample, and sometimes, it is otherwise. How do I deal with this?
I really appreciate any help you can provide.
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Likely you're using a Raman microscope for your measurements. Try to use the lowest magnification objective, this should increase the spot size.
(In the limiting case, you could try to completely remove the objective (just unscrew it) and excite the sample with the unfocused beam. Though the collected signal could become very small in this case.)
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How can we simulate TSV in the Silvaco example?
Exactly, I need the instructions for the attachments file.
Best regards.
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Silvaco
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I am using 20 mg of WO3, 800 mg of Sulphur, 925 oc growth temp, 280 oc S temp, and a 20 sccm gas flow rate.
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At first the atmosphere is only Ar gas in atmospheric pressure,during the growth time Ar+10% H2 was introduced. The image is taken from optical microscope. I also performed the raman spectroscopy on the black spots and it only shows the Si peak.
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Seeking to procure pure silicon powder within the 20-75 range or comparable specifications. Where might one find such a product available for purchase?
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Hi Vitor,
You may make an inquiry at Alfa Chemistry, they offer you advices and kinds of good-quality chemicals.
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I want to add silicon diooxide layer in my solar cell Struture as passivation layer. I am using Silvaco Tcad Softwere.
code that I write as follow
Region num = 7 x.min=0 x.max=1 y.min=0.5 y.max=0.6 mat=Sio2
material mat= Sio2 sopra=Sio2.nk mc=0.42 mv=0.16
Only adding this layer cel desnot show any output.
I dont know what to do next?
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I am trying to simulate solar cell with oxide layer I am using self consistent model like model QTUNNSC but not working. I used other models also but not work. is there any thing that i need to add my code ?
Thanks in advance.
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Dear scientists, we are currently conducting a mouse model for wound healing. The process is as follows: make the wound, apply and suture the silicone splint, apply the tegaderm and apply the treatment topically every two days. Our problem is that after 6 days, the mice start removing the silicone. Is it common for silicone to be removed? Would it be possible to put it back on or put another one on? What could we do to avoid this? Thank you so much!
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In a wound healing model using mice, silicone can be used as a barrier to prevent wound closure, allowing researchers to observe and analyze the wound healing process. Here are some steps to keep silicone on mouse skin in such a model:
1. Prepare the Wound: Create the wound on the mouse skin using surgical procedures like excisional wounds or punch biopsies.
2. Apply Silicone: Carefully apply a thin layer of silicone material over the wound site, ensuring complete coverage.
3. Secure the Silicone: Use medical adhesive tapes or bandages to secure the silicone in place, gently pressing the edges to ensure adhesion without causing discomfort.
4. Monitor and Replace: Regularly monitor the wound healing progress and replace the silicone material as needed to maintain effectiveness.
5. Handle with Care: Handle the mice carefully to avoid dislodging or damaging the silicone barrier, minimizing stress or handling that could interfere with wound healing.
6. Ethical Considerations: Ensure compliance with ethical guidelines and regulations for animal research, obtaining necessary approvals and following institutional protocols.
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Kindly assist with my challenge. I used stress/atom commands in LAMMPS to calculate Von miss stress and hydrostatic stress of a silicon nanometric cutting. Unfortunately or fortunately I got hydrostatic stress of maximum -3GPa and 1GPa which is low compared to 11GPa - 14GPa for Si and diamond tool with 204241 atoms. Note, the hydrostatic stress is for tool atoms group. I attached the stress part of the script. If there is a need to attach the entire script, I will.
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Daniyel Yaacov Bilar . Thanks for your insights. I will try your suggestions.
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I have used Keller's reagent till now but I am not able to see silicon network in SEM. I am also facing problem in etching. Some times I can see the microstructure in Optical Microscope but not able to see silicon network in SEM in same sample.
Kindly guide me please.
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Here are some suggestions: Ensure the sample is properly polished and metallized to prevent electrostatic charging and enhance conductivity. Make sure SEM parameters are correctly configured, including acceleration voltage and beam current, to achieve good resolution and contrast. Test various etching techniques to effectively reveal the material's structure, adjusting concentrations and etching times as needed. Utilize the backscatter (BS) mode of the SEM, which can provide better sensitivity to compositional variations and improved visualization of the silicon network.
good luck.
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I am analyzing some transient absorption data for hydrogenated amorphous silicon. Its seems that the banggap is around 1.7 eV i.e. 730nm. The pump is at 350nm and the probe from 500-900nm. I have gone through number of literature, but havenot seen ground bleach signal. The data that I have also show no ground bleach, as per my understanding, there would be ground bleach around the band gap.
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Yüzeyin kararmaması ve bant boşluğu hidrojenin doğadaki hali ve allotropların nasıl bulunduğuna bağlı. Hidrojen, döteryum, Tridyum. Bu arada kimyasal ve fiziksel özellikleri de göz önünde bulundurulmalı.
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Is it normal, please if someone did it guide me, or give me a link
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Dear friend Giyos Khamdamov
Well, assembling a silicon carbon-based anode lithium coin cell with LiPO4 cathode is quite a fascinating endeavor. Regarding your observation of the open circuit potential (OCP) being near zero, let's dive into that.
A near-zero OCP could indicate various possibilities. It might be due to the cell being discharged, a result of a high resistance contact, or even a sign of a faulty component. However, in the case of a freshly assembled cell, it's essential to consider factors like initial activation and settling time.
Firstly, ensure that your assembly process was meticulous, with proper electrode preparation, electrolyte filling, and sealing techniques. Secondly, allow some time for the cell to stabilize after assembly. This settling period allows any initial chemical reactions or equilibrium adjustments to take place, potentially affecting the OCP.
If the OCP remains near zero after this settling period, it might be worthwhile to investigate further. Check for any potential short circuits or defects in the components. Also, consider measuring the OCP under different conditions, such as after a brief rest period or with varying temperatures, to gather more insights into the cell's behavior.
As for specific guidance or resources, you Giyos Khamdamov might find valuable insights in academic papers, research articles, or forums dedicated to battery technology and electrochemistry. Platforms like ResearchGate (this one) or relevant subreddits could potentially provide useful discussions or references to address your concerns.
Remember, in the realm of experimental research and development, each observation, no matter how seemingly trivial, can serve as a valuable clue in the pursuit of innovation. So, keep exploring, stay curious, and don't hesitate to reach out for assistance or collaboration. Good luck with your endeavors!
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Dear reader:
Thank you very much for looking into this question!
I am testing a dry etching process that transfers the photoresist profile into silicon. The target is using O2/SF6 reactive ion etching (RIE) to achieve a 1:1 selectivity (Si etching rate: photoresist etching rate 1:1). But when I am close to the 1:1 selectivity by: changing O2/SF6 ratio; changing the power; changing the pressure, I always see a dark, rough surface.
I notice that this phenomenon might be due to the SiO2 mask layer forming on the wafer surface, so I am adding CHF3 for Si etching, but similar things happen when selectivity is close to 1:1. So would there be any other reasons for this phenomenon? How can I improve the roughness? I can only tune the power, pressure, and gas mixture, without control for temperature and DC bias.
Thank you very much if you can give me any clue!
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This might be the "micromasking effect". I also experienced this previously using O2/SF6 to do the deep RIE on the Si wafer. In my opinion, this phenomenon may happen because the plasma hit the PR, and the sputtering of the PR remained on the rest area of your wafer and formed the micron-masks. When you proceed RIE with these micron masks, you will receive a grass-like, rough, black surface of your wafer.
There were two ways that I did to improve this RIE process to avoid the micro masking effect:
1. Instead of using PR as an etch mask, I use Cr.
2. Do 2 or 3 steps of RIE (e.g., if you plan to do 10 mins RIE, split it into one 5 min and another 5 min steps.), and between steps, clean your wafer with O2 plasma, make sure there are no contaminations on the wafer. Also, do the O2 plasma cleaning to the chamber to purge the remaining gases.
Hope this answer will help.
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Hi,
In my FDTD simulation result of transmission intensity for IR source (12 µm) over thin film ( thickneess 4µm) at different angles, I found that the intensity is maximum when theta angle is 30.
may i know what could explain this and is there any experiment result to verify?
thanks
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The model will have perfectly parallel surface on the film. You can expect strong etalon effects. With the film thickness close to the wavelength (given the index of refraction, the wavelength inside Silicon is about 3.5 um) you can expect the etalon to vary slowly with angle. Also, given the high index, the internal angle will change very slowly with external angle.
Try looking up etalon equations such as here: https://www.photonicsolutions.co.uk/upfiles/CXEtalons1.pdf
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What reaction(s) can be expected between Si and ethylene glycol when mechanical energy is added? T < 70°C, fractured Si surface of many orientations, not oxidized, not passified. Inert gas atmosphere. Little, but some, O2 (g) is present except for what is dissolved in the alcohol. It is not degassed.
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I would say spirosilicates and am not sure about gas except H2.
Do you have any idea how to mitigate this? and what other byproduct gas formation takes place?
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I am a undergraduate student new in the research of brain-mapping. I am currently switching from FreeSurfer to FastSurfer to speed up the brain-mapping process.
I am using a MacBook with Apple Silicon. When I tried to run FastSurfer with Docker, the speed was really slow. When I tried to run it natively, run_fastsurfer.sh didn't seem to be running properly. However, it seems that running FastSurfer natively on Apple Silicon should be feasible based on my online research.
Could anyone familiar with this topic give me any suggestions?
Thank you so much for your time in advance.
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here is how to run freesurfer and fastsurfer on any device using chrome:
the function freesurfer() installs freesurfer
the function frastsurfer() installs fastsurfer
the function FreeSurfer(input,subject,subdir) do recon-all
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Is it possible to build two or more kinds of doped silicon on each other? For example, building a 1 um p-doped silicon on 1um n-doped one? while they have been separated by an insulation layer?
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If the insulation layer is oxide, creating such a layer-by-layer structure might be complex on a monocrystalline silicon wafer. However, employing an in-plane structure via photolithography allows for far easier realization.
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The picture shows a GITT diagram of a graphite and silicon composite half cell. Why does it indicate a reversible to higher voltage in the circles shown? Is it due of the electrode's high resistivity, or is there another reason?
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if you measure (some diagnostic) EIS[1], you might identify the reason.
1. Vdc,polarization inside the range = [0.25, 0.30] V
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I am using FDTD method for the simualtion.
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The performance of an add/drop filter can be influenced by the materials used and their arrangement. Here’s some information that might help explain the phenomena you’re observing:
  1. Lithium Niobate Substrate with Holes: Lithium Niobate (LiNbO3) is a widely used material in photonics due to its excellent electro-optic and acousto-optic properties. However, introducing holes into the LiNbO3 substrate could potentially disrupt the propagation of light, leading to inefficient coupling and poor filter performance. The exact reasons can depend on the size, shape, and distribution of the holes, as well as the specific setup of your experiment.
  2. Silicon Rods in an Air Background: Silicon rods in an air background can form a type of structure known as a photonic crystal. Photonic crystals are periodic structures that can manipulate light in nanometer dimensions. The high refractive index contrast between silicon (which has a high refractive index) and air (which has a refractive index close to 1) can lead to strong field confinement and low bending loss. This makes them suitable for creating efficient add/drop filters.
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If I want syntheses the EGFET, using n or p type but if using silicon substrate,
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In the context of synthesizing an EGFET (Electrolyte-Gated Field-Effect Transistor), the choice of silicon type (n-type or p-type) for the substrate depends on the specific requirements of your device and the materials you are using.
Here are some considerations:
  1. Matching Types for Optimal Performance: For optimal performance, it is generally beneficial to match the type of silicon substrate with the type of material you are depositing. For example, if you are using an n-type semiconductor material (e.g., n-type organic semiconductor), it is typically best to use an n-type silicon substrate. Similarly, if you are using a p-type semiconductor material, it is often best to use a p-type silicon substrate.
  2. Depletion Region and Threshold Voltage: The type of silicon substrate can influence the formation of the depletion region in the transistor, which affects the threshold voltage and overall device behavior. Matching the substrate type with the deposited material can help in achieving the desired electrical characteristics.
  3. Polarity and Carrier Mobility: The carrier mobility of electrons and holes can vary depending on the type of semiconductor material. Matching the substrate type with the deposited material can lead to better carrier transport properties.
  4. Potential Incompatibilities: In some cases, using mismatched silicon and semiconductor types could lead to unwanted effects such as increased leakage currents or less predictable device behavior.
  5. Device Design and Application: The specific requirements of your device and its intended application may influence the choice of materials. Consider factors like voltage requirements, sensitivity, and desired performance characteristics.
Ultimately, the choice between n-type and p-type silicon substrates should be made based on a thorough understanding of the materials involved, the device's specifications, and any specific goals you have for your EGFET.
Keep in mind that this is a general guideline, and there may be specialized cases or experimental setups where using mismatched types could be intentionally chosen for specific reasons. It's always a good idea to consult with experts in the field or refer to specific literature related to your research to make an informed decision.
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My microparticles turn to white when they are in contact with pbs or water. This occur with no reason and i would like to know why and if this would affect their capacity to load antigens and their adjuvant effect
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The particles are oxidizing to SiO2 which is white. A good background article is: Kim, Thermally Induced Silane Dehydrocoupling on Silicon Nanostructures DOI:10.1002/anie.201601010
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Dear community,
I am working on X-ray photoelectron spectroscopy (XPS) on amorphous silicon carbonitride thin films. My material mostly exists in mixed environments, i.e., silicon bonded to carbon and nitrogen in its local chemical environment as SiC3N. I assume XPS gives only one Si 2p signal from the mixed environment. In a situation like this, is it appropriate to deconvolute the silicon spectra into two peaks corresponding to the Si-C and Si-N bond environment?
If I fit one peak, the residual STD is greater than 1.5. Or should I fit two peaks for Si2p 3/2 and Si2p 1/2 with a spint-orbit splitting energy of 0.6 eV?
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Thank you Jürgen Weippert for pointing me to the discussion by Jefferey Weimer. It partly answers my question.
If there are two materials existing together (Si and SiO2), it makes sense to deconvolute Si2p core spectrum into two different peaks. What if Si exists in the SiC3N environment, and does it make sense to deconvolute it to Si-C and Si-N peaks? Or just consider it as one peak and assign it to a mixed chemical environment?
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Hi everyone, just I said above Does anyone know a supplier of PDMS (silicone) Hollow fiber membrane?. I need to buy per meter of this product
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Hi Matías,
You may make an inquiry at Alfa Chemistry, they offer you advices and kinds of good-quality materials.
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go atlas
mesh space.mult=1.0
#
x.mesh loc=0.00 spac=0.01
x.mesh loc=0.20 spac=0.0001
x.mesh loc=0.25 spac=0.01
x.mesh loc=0.30 spac=0.0001
x.mesh loc=0.40 spac=0.01
x.mesh loc=0.5 spac=0.01
#
y.mesh loc=0.00 spac=0.001
y.mesh loc=0.002 spac=0.001
y.mesh loc=0.005 spac=0.001
y.mesh loc=0.035 spac=0.01
y.mesh loc=0.065 spac=0.15
#
region num=1 material= Air x.min=0 y.min=0
region num=2 material= SiO2 x.min=0.2 x.max=0.3 y.min = 0.002 y.max=0.005
region num=3 material= silicon x.min=0 x.max=0.2 y.min =0.005 y.max=0.035
region num=4 material= silicon x.min=0.2 x.max=0.3 y.min =0.005 y.max=0.035
region num=5 material= silicon x.min=0.3 x.max=0.5 y.min =0.005 y.max=0.035
region num=6 material= silicon x.min=0 x.max=0.5 y.min =0.035 y.max=0.065
#
electrode name= gate x.min=0.2 x.max=0.3 y.min =0.0 y.max=0.002
electrode name= source x.min=0 x.max=0.1 y.min =0.002 y.max=0.005
electrode name= drain x.min=0.4 x.max=0.5 y.min =0.002 y.max=0.005
#
doping uniform concentration= 1E13 p.type region=6
doping uniform concentration= 1E20 n.type region=3
doping uniform concentration=1E13 p.type region=4
doping uniform concentration=1E20 n.type region=5
#
contact name= gate n.poly
inter qf=3e10 y.max=0.005
contact name= source
contact name= drain
#
models cvt srh print
#
#output val.band con.band qfn qfp e.field j.electron j.hole j.conduction j.total ex.field ey.field flowline e.mobility h.mobility qss e.temp h.temp j.disp band.param charge
#
Method gummel newton
Solve init
#Solve prev
#Solve vdrain=0
#Solve vdrain=0.1
#Solve vdrain=0.5
Solve vdrain=1.5
#Solve vdrain=2
#Ramp the gate
#
Log outf=100nm_Vt_output.log master
Solve vgate=0 vstep=0.25 vfinal=3 name=gate
save outf=100nm_Vt_output.str
#plot result
tonyplot 100nm_Vt_output.log
#tonyplot 100nm_Vt_output.str
#extract device parameter
extract name="vt"(xintercept(maxslope(curve(abs(v."gate"),abs(i."drain")))) \
- abs(ave(v."drain"))/2.0)
#
quit
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Thank you
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I had a quick question about tape casting/slurry coating films in general, and was hoping for some insights on getting a freestanding tape of Silicon or Carbon/Alumina. I'm trying to get freestanding tapes that are 100 - 300 um thick to cut to size for a subsequent heat treatment process.
I'm having difficulty in getting the dried film to release and have no idea why. My substrate is silicone coated mylar (release film), binder is Polypropylene carbonate, and solvent is DMC (Dimethyl Carbonate). Solid weight loading is around 30 - 35 wt%, binder is 5 - 10 wt %, and solvent is the rest. Does anyone have experience with the same?
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In addition, the Tg of the binder is 15 - 40 C. At room temperature, it is already clumps together if in pellet form. This is why I haven't added any plasticizers into the slurry.
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There are many problem in thermal evaporating SiO material.
Have you ever experience the similar problem?
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Dear Hye-Min An,
You may want to review some useful information presented below:
Silicon monoxide (SiO) is a compound composed of silicon (Si) and oxygen (O), and it is used in various thin-film applications, including optical coatings and semiconductor devices. Thermal evaporation is one of the common methods for depositing thin films of SiO. However, achieving strict thickness control with thermal evaporation can be challenging compared to other deposition techniques like sputtering or chemical vapor deposition (CVD).
Here are some factors to consider when attempting SiO thermal evaporation with thickness control:
  1. Evaporation Rate and Film Thickness: Achieving precise control over film thickness in thermal evaporation depends on accurately controlling the evaporation rate of SiO. The deposition rate can be influenced by factors such as the temperature of the SiO source material, the crucible design, and the vacuum conditions. Variations in these parameters can lead to variations in film thickness.
  2. Uniformity: Achieving uniform film thickness across a substrate can be challenging with thermal evaporation. It often requires careful design of the deposition system, including the source-to-substrate distance and the use of rotating substrates or masks to improve uniformity.
  3. Monitoring and Feedback Control: To achieve precise thickness control, it's essential to monitor the deposition process in real-time and implement feedback control mechanisms. Techniques such as quartz crystal microbalance (QCM) or optical monitoring can be used to measure the deposition rate and adjust it as needed during deposition.
  4. Material Purity and Stability: The quality and stability of the SiO source material are crucial. Impurities or variations in the source material can lead to inconsistencies in film thickness.
  5. Substrate Temperature: The substrate temperature during deposition can also affect film properties. Controlling the substrate temperature is essential to achieve the desired film characteristics.
  6. Process Reproducibility: Achieving strict thickness control with thermal evaporation may require careful process development and optimization to ensure reproducibility from run to run.
While achieving strict thickness control with SiO thermal evaporation can be challenging, it is not impossible. Many research and industrial processes use thermal evaporation successfully for SiO deposition. However, for applications that require extremely precise and uniform thin films with strict control over thickness, other deposition techniques like sputtering or CVD may be preferred, as they offer more inherent control and uniformity in thin-film growth. The choice of deposition method depends on the specific requirements of the application and the available equipment and expertise.
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I would like to buy an automatic spinner system for Si wafer etch with KOH by using spinning method at 85 C temperature. The KOH must be collected then will be reused. Is there a system like this?
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Hi, I don't know about commercial solutions but combining a fast spinner with a powerful etch solution sounds like a really dangerous job as the etch could land everywhere - don't try this outside a completely closed fume cupboard. I would not even consider it inside a fume cupboard as cleaning it up afterwards will be a mess!
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which "study", from comsol, to use to calculate the transmission spectrum of 2D photonic crystal device? And how to configure it? Basically the device is a crystaline network of silicon rods immersed in air with defects that form 4 channels. I used Domain wavelength, but my results weren't very good.
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My suggestion is to use the Lumerical Software...Can try 30 days trials..Tqs
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Dear All
I would like to coat silicon tubings (Tygon) with 1% Pluronic F127 to prevent cell attachment inside the tubing. Can I use the coated tubings 1 day after I coated or should I use immediately after the coating? Thank you very much!
Best
Su
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Hello. Were you able to find the answer to this question? Also, what method did you use to quote the Tygon tubings with 1% Pluronic F127?
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I've been researching about SHJ structure and couldn't find the reason. Is someone know?
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Dear Beyza Nur Akbolat,
You may want to review information presented below:
Aluminum-based metallization is not commonly used on silicon heterojunction (SHJ) solar cells due to several reasons:
  1. Contact Resistance: Aluminum forms a high-resistance contact with the silicon surface due to the formation of a thin insulating oxide layer (aluminum oxide) on its surface. This oxide layer limits the electrical conductivity of the contact, leading to higher contact resistance and lower overall cell efficiency.
  2. Diffusion Barrier: Aluminum is known to diffuse easily into silicon, which can lead to increased recombination losses at the interface between the aluminum contact and the silicon absorber layer. This diffusion can degrade the performance of the solar cell by introducing defects and reducing carrier lifetime.
  3. Heterojunction Design: SHJ solar cells rely on a carefully designed heterojunction structure where the silicon absorber layer is in close contact with transparent conductive oxides (TCOs) like indium tin oxide (ITO) or transparent conducting oxides (TCOs) like indium tin oxide (ITO) or zinc oxide (ZnO). These TCOs provide both electrical conductivity and transparency, and their properties are better suited for SHJ cells than aluminum.
  4. Passivation: Aluminum does not offer the same passivation benefits as other materials used in SHJ cells, like amorphous silicon or intrinsic silicon oxide. Passivation is crucial for minimizing surface recombination and enhancing cell efficiency.
  5. Reflectivity: Aluminum has higher reflectivity for sunlight compared to some other metals, which can lead to a loss of incident photons that could have otherwise been absorbed by the solar cell's absorber layer.
  6. Thermal Mismatch: Aluminum and silicon have different coefficients of thermal expansion. This can lead to mechanical stress and even delamination as the cell goes through temperature cycles, affecting the long-term reliability of the solar cell.
Due to these technical limitations and compatibility issues, aluminum-based metallization is generally avoided in silicon heterojunction solar cells. Instead, alternative materials and techniques are employed to ensure efficient light absorption, carrier extraction, and overall cell performance.
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How does it sound if the enhanced content of pentavalent impurity, such as Phosphorus, exhibits a greater affinity for Silicon? Could this parallel the integration scenario of DNA with Silicon?
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Dear Dr. Cyril R. A. John Chelliah,
Info presented below points to a certain favorable example that you're looking for:
The concept you're touching upon involves the integration of biological and electronic systems, often referred to as bioelectronics or bionics. Let's break down your question:
  1. Enhanced Content of Pentavalent Impurity (Phosphorus) and Silicon Affinity:In semiconductor physics, elements like phosphorus (P) are considered impurities or dopants when added to materials like silicon (Si). When phosphorus, a pentavalent impurity (having five valence electrons), is added to silicon, it introduces additional charge carriers, creating an n-type semiconductor. This is due to the extra electron provided by phosphorus. This process is commonly used in creating n-type regions in silicon for electronic devices like transistors.
  2. Integration Scenario of DNA with Silicon:The integration of biological molecules, such as DNA, with silicon-based technology is an active area of research. DNA is a versatile molecule with unique self-assembly properties and molecular recognition capabilities. Researchers have explored the possibility of using DNA as a template or scaffold for organizing nanoscale electronic components, such as carbon nanotubes or nanoparticles. This could potentially lead to novel bioelectronic devices with applications in sensing, computing, and more.
While both concepts involve the interaction of materials (like phosphorus with silicon and DNA with silicon), they address different domains. The affinity of phosphorus for silicon is well-understood in the context of semiconductor physics, and it's primarily used to modify the electronic properties of silicon for conventional electronic devices.
On the other hand, the integration of DNA with silicon is a bioelectronics concept that aims to combine the unique properties of biological molecules with electronic components. This research area is more focused on creating hybrid systems that can leverage the advantages of both biological and electronic elements.
It's worth noting that while these concepts involve interactions between different types of materials, the specific purposes, mechanisms, and applications are distinct. The integration of DNA with silicon aims to bridge the gap between biological and electronic systems, potentially leading to innovative technologies, while the interaction of phosphorus with silicon is a fundamental aspect of semiconductor physics with implications for electronic devices.
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Diving into to the basic concept of semiconductors, we know the Base-Emitter voltage for a typical silicon based transistor is 0.7 Volts when both p type and n type are doped with silicon.
What if we could dope the either type with both extrinsic silicon material and germanium material? What theory would explain the experimental effects of doing so? If precisely, also the nearest values?
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By “doped with silicon” are you referring to doping into the Si material or the dopant is Si?
The latter case is not possible since Si has a valence of four, in order to create p-type in Si-based transistor you need one with one unit less i.e., 3 and for n-type valance will be one unit higher i.e., 5.
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I am simulating a particular waveguide using COMSOL Multiphysics software, for that I have to use the in-direct bandgap property of Silicon in y structure. So, how to assign the in-direct bandgap parameter of the Silicon in COMSOL.
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The type of semiconductor can be determined by the 4-probe method or by using the hall effect. The width of the forbidden zone can be determined using a spectrometer, spectrophotometer.
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Atoms of SiC material, one silicon atom will connect four carbon atoms, is the bonding energy between this silicon atom and four carbon atoms the same?
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Just a general note, since Michael Rüsing mentioned one of it: The wurtzite structure has hexagonal symmetry, it has the label 2H. Instead, the label 3C refers to the zincblende structure, which is cubic.
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If XPS measurements are performed on silicon wafer and gold with a thin silicon IV oxide deposited on top of the two sample?
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I don't know what you mean by that. XPS differentiates elements by binding/kinetic energies, so if you see both, they will be clearly differentiable.
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I have multicrystalline silicon wafers (mc-Si), and I do not know their grade. Is there a simple method that can be used to classify this material? The minority carrier lifetime measurement, is it sufficient to make this classification, or I have to make further characterization such as the determination of their impurities contamination level ?
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Solar grade silicon (SoG-Si) is much purer than metallurgical grade silicon (MG-Si).
The most important difference between the two is the purity of the material. This can be directly indicated by measuring the resistivity of the material using 4-point probe with the four points contacted to a large crystalliteSolar grade silicon (SoG-Si) is much purer than metallurgical grade silicon (MG-Si).
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I am depositing Silicon using RF magnetron sputtering onto glass/CaF2 substrates for my research.
My standard process parameters are:
Power: 400W
Pressure: 0.24Pa
Base pressure: 3.35e-4 Pa
Target to substrate distance is about 6cm
Reflected power: 9W
Vbias: 360V
I have ran this process in the past and it has worked fine to produce a film of about 1µm thickness for about 100 minutes deposition time. But since last week when I try to run this process, there is no material on the substrates at all and there is also some amount of dust accumulated on top of the target after the process.
I thought this issue could be from the dark shield being placed incorrectly but I checked different position and it did not change anything. My other thought is that the substrate holder is somehow not grounded properly anymore and the material atoms are no longer being accelerated towards the substrate. I have no checked this as I am not sure how to check the bias between the target/magnetron source and the substrate holder safely.
Any advice/suggestions on what the issue could be or how to fix this would be appreciated. Thanks.
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I'm having the same problem. In a same process, material can be deposited on quartz substrate, but Si substrate.
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For example, the primary region of Silicon element is 2p, why not 1s or 2s?
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a) No, cross section has nothing to do with sample dimensions, it is the cross section for the ionization process as you can find them in the Yeh/Lindau or Scofield tables. These are the main factors in XPS sensitivities of a certain peak. On this subject please also see this manual, starting on page 67:
b) Overlapping of different peaks is what we want to avoid here. Depending on the coupling interaction between the electrons peaks may be split up in e.g. a p1/2 and a p3/2 part and if these are still close together, this may make your deconvolution pretty hard.
But generally, the Thermo Fisher guide is a pretty good source for element-specific information.
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Hi, I wanted to do mode analysis of two coupled silicon waveguide separated with 200 nm with the dimension of 400 nm and thickness 0.215 nm. What should be the height and width of cladding? I also have prepared file for it, but results is not getting as expected.
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Usually, the height of cladding and buried oxide (BOX) in silicon photonics is determined by the foundry and typically varies between 2 to 3 microns. To avoid any mode scattering, you can set the cladding and BOX height to 3 μm. Besides, you can use perfectly matched layers (PML) to reduce the reflection from boundaries.
I noticed that in your mph file, you haven't considered the silicon substrate. If your intention is to only study the waveguide modes, you can extend the BOX and cladding heights to any value larger than 5 times the maximum wavelength.
Please refer to the attached mph file where I have added a PML layer and made modifications to the geometrical parameters.
Thanks,
Aydin
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When I do the PPC-PC reverse dry transfer method, PPC and the sample fall on the PC, and then I melt the PC/ sample /PC onto the silicon chip, how do I remove both PPC and PC to get the sample?
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The process of removing both PPC (photoresist) and PC (protective coating) layers after the reverse dry transfer method involves applying a suitable solvent to the sample to dissolve both layers. After dissolution, the layers are gently removed through rinsing with an appropriate cleaning agent, such as a solvent stream or a soft brush, followed by rinsing with isopropyl alcohol or deionized water. Once dried, the sample is inspected to ensure complete removal of the layers and is ready for further processing or analysis.
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I am trying to deposit a thin film of hydrogenated amorphous silicon by RF magnetron sputtering.
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The material with a bandgap of 3.8 eV you might be referring to is Gallium Nitride (GaN). It's a wide bandgap material extensively used in blue and white light-emitting diodes (LEDs) and lasers.
Hydrogenated amorphous silicon (a-Si:H), on the other hand, has a bandgap of about 1.7 eV. This makes it useful in solar cells and thin film transistors for LCDs.
When depositing a thin film of hydrogenated amorphous silicon by RF magnetron sputtering, you'll sputter a silicon target in a plasma that contains a small amount of hydrogen. The hydrogen in the plasma will become incorporated into the growing film, which results in the amorphous structure and the unique properties of a-Si:H.
I hope this information is helpful. If you have other questions, please let me know!
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silicon half cell testing
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Dear friend Natthawut Suepsing
Setting up a program for running a silicon half-cell test involves several steps. Here is a general guide to help you get started:
1. Choose a suitable simulation software: Select a software package that supports electrochemical simulations, such as COMSOL, Abaqus, or ANSYS. These software tools offer capabilities for modeling and simulating electrochemical systems.
2. Define the geometry: Create a 3D model of your silicon half-cell. Specify the dimensions, electrode geometry, and any other relevant details. This model will serve as the basis for your simulation.
3. Define the electrochemical system: Set up the electrochemical parameters for your simulation, including the working electrode (silicon), reference electrode, and electrolyte. Define the material properties and initial conditions for each component.
4. Set boundary conditions: Specify the operating conditions for the half cell, such as temperature, current density, and voltage. Set appropriate boundary conditions for the electrodes and the electrolyte.
5. Implement appropriate physics: Include the relevant electrochemical and transport phenomena in your simulation. This may involve incorporating equations for diffusion, migration, charge transfer, and other relevant processes. Choose the appropriate models and equations based on your specific experimental setup.
6. Run the simulation: Execute the simulation program with the defined parameters and conditions. The program will solve the mathematical equations and generate results based on the specified inputs.
7. Analyze and interpret the results: Examine the output data from the simulation to understand the behavior of the silicon half-cell. Evaluate variables such as potential distribution, current density, and charge/discharge profiles. Compare the simulated results with experimental data to validate the accuracy of the simulation.
References:
1. M. E. Orazem and B. Tribollet, Electrochemical Impedance Spectroscopy, 2nd Edition (Wiley, 2017).
2. Newman, J., Thomas, K. E., Hafezi, H., & Wheeler, D. R. (2003). Modeling of lithium-ion batteries. Journal of power sources, 119, 838-843..
3. COMSOL Multiphysics User's Guide, COMSOL Inc., https://www.comsol.com/documentation
4. Abaqus User's Manual, Dassault Systèmes, https://www.3ds.com/products-services/simulia/
These references provide further details on electrochemical simulations, including modeling lithium-ion batteries, half-cell testing, and using specific software tools like COMSOL and Abaqus. They cover theoretical background, practical guidelines, and software documentation to help you set up and run your silicon half-cell simulations successfully.
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I want to design a silicon metasurface (SIO2 substrate and single Si nanofin) to operate in Near Infrared Region in CST. What parameters (values) i need to accurately model Si/SiO2?
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Thank you for your response.
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What are the key determinants of the possibility of building new high-tech microchip manufacturing companies?
What are the key determinants of the possibility of building new high-tech microchip manufacturing companies in a developing country where various new technologies are being developed but to date there are no high-tech chip manufacturing companies?
What type, what category of capital should a developing country have in order to be able to build its, nationally, a kind of new 'Silicon Valley', in which companies developing new technologies and basing their business models on new, highly advanced ICT information technologies and Industry 4.0 will function effectively?
Among the various factors of technological and developmental advantage of individual countries in terms of international comparisons, the possession of advanced technologies, including biotechnology, green energy technologies but also new ICT information technologies and technologies typical of the current fourth technological revolution, Industry 4.0 technologies, stands out. The possession of these technologies determines the possibilities for the development of many industries, including the manufacture of products that are increasingly produced as highly technological products equipped with, for example, microchips.
Microchips are no longer used only in computers, laptops, PDAs, tablets, smartphones, supercomputers built in research centres and further types of highly technological products, but also in white goods, consumer electronics, TV, motor vehicles, including cars, aircraft, military equipment, etc. and, more recently, in systems based on artificial intelligence being built and developed. Microchip production is associated with certain determinants for the development of other economic sectors as well. The production of microchips is a highly energy-intensive process. Therefore, it is also necessary to develop new, renewable and emission-free energy sources to supply electricity to, among other things, microchip production processes.
Currently, there are aspirations and research in many countries to identify opportunities for the development of advanced ICT and/or to create the conditions for the creation of a kind of next "Silicon Valley", including microchip manufacturing companies. As in the case of other industries, so in the case of new ICT information technologies and Industry 4.0, the key factors determining the possibility of building new companies producing advanced microchips include such basic categories of capital as financial capital, possession of research and development centres, science centres generating also the intellectual capital of the staff of employees, possession of modern lines and machine parks produced mainly by domestic industries, generating technological and production capital, with which industrial plants and companies included in technological sectors are equipped. However, this is not all that is required to build a thriving sort of new, next "Silicon Valley" and to be able to be at the forefront of the new ICT information technologies, Prezmysł 4.0, including the production of highly technological microchips. Perhaps among the mentioned key determinants of the development of technology companies are new specific business models, new styles of management, personnel management and motivation to create technological innovations. In addition, perhaps the key factors determining the development of technology companies should also include a highly economically efficient mix of flexible pro-development economic policies, including policies to support the development of science, scientific research, the development of research and development centres, policies to develop innovation; systemically developed highly efficient corruption-free financial support programmes from the state's public finance system; a friendly economic policy for the development of innovative startups; modern ownership models and shareholding structures of technology companies, research institutes and research and development centres, etc.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What type, what category of capital should a developing country have in order to be able to build its, nationally, a kind of new "Silicon Valley" in which companies developing new technologies and basing their business models on new, highly advanced ICT information technologies and Industry 4.0 will function effectively?
What are the key factors determining the feasibility of building new modern microchip manufacturing companies in a developing country where various new technologies are being developed but modern microchip manufacturing companies do not exist to date?
What are the key determinants of the possibility of building new high-tech microchip manufacturing companies?
What are the key determinants of the development of highly technological industries?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Best regards,
Dariusz Prokopowicz
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The development of highly technological industries is influenced by a variety of factors. Here are some key determinants that play a significant role:
  1. Research and Development (R&D): Investment in research and development is crucial for the development of highly technological industries. Companies and governments that allocate substantial resources to R&D activities can drive innovation, create new technologies, and enhance existing ones. R&D investment helps in the development of cutting-edge products, processes, and services, giving industries a competitive advantage.
  2. Skilled Workforce: The availability of a skilled and knowledgeable workforce is essential for the development of technological industries. Skilled professionals, such as engineers, scientists, programmers, and technicians, contribute to research, design, production, and maintenance of technology-based products and services. Access to quality education and training programs that focus on science, technology, engineering, and mathematics (STEM) disciplines is crucial for nurturing a skilled workforce.
  3. Infrastructure: Adequate infrastructure is necessary to support the development of highly technological industries. This includes reliable power supply, high-speed internet connectivity, transportation networks, research facilities, and incubation centers. A well-developed infrastructure enables efficient communication, transportation of goods, access to markets, and collaboration between industry players.
  4. Intellectual Property Rights (IPR) Protection: Strong intellectual property rights protection is essential to encourage innovation and investment in technological industries. Robust legal frameworks and effective enforcement of patents, copyrights, and trademarks provide incentives for companies to develop new technologies and ensures that they can profit from their inventions. Effective IPR protection fosters a climate of innovation, attracting investments and promoting technological development.
  5. Access to Capital: Adequate access to capital is crucial for the growth and development of technological industries. Investments are required for R&D, infrastructure development, hiring skilled professionals, and scaling up operations. Access to venture capital, private equity, government grants, and loans enables companies to fund their innovative projects and expand their operations.
  6. Collaboration and Networking: Collaboration and networking play a vital role in the development of highly technological industries. Collaborations between academia, research institutions, and industry foster knowledge transfer, encourage innovation, and enhance the development of new technologies. Networks and clusters of companies in related industries can create synergies, share knowledge, and facilitate the exchange of ideas.
  7. Supportive Regulatory Environment: A supportive regulatory environment can significantly impact the development of highly technological industries. Clear and favorable regulations can encourage innovation, ease market entry for new companies, and provide a framework for fair competition. Policies that promote entrepreneurship, ease bureaucratic burdens, and incentivize investments in R&D can foster the growth of technological industries.
  8. Market Demand: The presence of a strong market demand for technological products and services is a key determinant of industry development. Industries thrive when there is a significant consumer base or business demand for innovative technologies. Market demand provides the necessary incentives for companies to invest in R&D and bring technologically advanced products and services to the market.
It's important to note that these determinants can interact and influence each other. Successful development of highly technological industries often requires a combination of these factors working in tandem to create an ecosystem conducive to innovation and growth.
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In some cases of MoS2 thin film fabrication, the methods usually used are CVD, spin coating and dip coating. In the three methods mentioned, usually the deposited film is heated at high temperatures above 800C. Because the substrate used is Silicon, it will be fine.
What if the substrate we use is not silicon, for example BK7 glass? Some papers transfer MoS2 from a silicon substrate to the desired substrate, but I'm not sure the MoS2 layer will bond tightly with the substrate I use.
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Sure, you can send me any of your queries in my official email
I will try to help you.
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I was trying to use antechamber to obtain the mol2 file for a silicon containing molecule. But GAFF2 force field does not have the parameters for silicon and that's why antechamber could not recognize the 'si' atom. Can anyone kindly help me regarding this issue?
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Thanks a lot Aashish Bhatt!
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Ultrafiltration or Centrifuge? I am a little bit confused with these two methods. please Give me some suggestions.
If possible, attach literature.
Thank you in advance.
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if its okay that they can get wet, i would take a great measuring cylinder (2 or 3 L) add water and drop silicon in it. the coarse silicon is falling down and the nm scale one is floating. than you can decant it. just do it more than one time to be sure.
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We have created several variations of our MEMS gyroscope, out of highly p-doped silicon. The natural frequencies are off by +7% compared with our simulations, and we don't know why. Is it the material properties, i.e. Young's Modulus + Poisson ratio? We tried looking in the literature for these values, but they don't explain our frequency differences. We also measured the geometry of our devices, but everything is within tolerance.
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Measurements have been made of the temperature dependences of the electrical resistivity and Hall coefficient in samples of n‐ and p‐type silicon having impurity concentrations in the 1018 to 1020 cm−3 range. The resistivity data extend from 4° to 900°K, and the Hall data from 4° to 300°K. The results exhibit two noteworthy features: viz., (1) a hump or maximum in the resistivity vs temperature curves at or slightly below the degeneracy temperature in each sample, which is most pronounced in the least heavily doped samples and gradually fades out as the impurity concentration increases, and (2) an extension of the positive dependence of resistivity on temperature below the hump or degeneracy temperature to surprisingly low temperatures in each sample.
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If possible, It would be great if you recommend some literature as well.
Thank you in advance.
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I recommend to study the kinetics of sedimentation with periodic measurement of particle sizes in a long glass cylinder. When you find the start time for the nanoparticles to start deposition, this will be the time from which you will need to collect the nanoparticles.
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Hello colleagues,
I have been facing a DRIE (Deep Reactive Ion Etching) problem lately. I start with a silicon wafer, and deposit a 50 nm Al2O3 film as a hard mask. Then, I use photolithography to create a pattern and etch away part of the Al2O3 mask using BCl3/Ar dry etching. Next, I strip the resist, leaving only Al2O3 on silicon as a hard mask. Before DRIE, I conduct one more cleaning step of 5 min oxygen plasma and 30 s silicon oxide etching. The DRIE tool we use in our facility is Unaxis 770. However, after 50-100 loops, sometimes the etched area becomes very rough with many small holes. Can anyone give me some hints about why the etching is not uniform and what causes the holes on the silicon surface? I would really appreciate any suggestions. Thank you!
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I would guess that either the BCl3/Ar etch was not complete (leaving some Al2O3) or that the SiO etch is not complete (leaving some oxidized silicon). Is there some way to analyze the surface after these steps? Or maybe just adjust the times and see what happens. Good luck
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Graphite is an allotropic modification of carbon, therefore it is a non-metal. In general, non-metals do not conduct electricity. Carbon is from the same group as silicon and germanium. It can be assumed that it is rather a semiconductor.
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Graphite is an electrical conductor not a semiconductor. The C atoms in graphite are arranged in parallel planes with hexagons in the planes (strong bond - sp2 hybridisation), and a pi (weak) bond between the planes. This pi bond gives the free electons for electrical conduction for graphite. Thus graphite is electrical conductor, not a semiconductor.
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For changing the material concentration, where and how can we make changes.? I want to change the silicon concentration in the SiGe material but I don't know how to do it.
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Please find the attached
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Eventhough LPCVD SiN is etched by KOH in a very less amount, whenever a long duration(~5 hour) 30% KOH ethcing is done, SiN also gets affected. Is there any methods to prevent it?
What are the alternatives and options.
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Protek PSB failed in my process - if etching >100 um.
I used low stress LPCVD nitride. Works wonders.
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I need to refine metallurgical silicon to poly crystalline silicon but the source contain 60 ppmw P and 40 ppmw B
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It is important to note that the process of refining metallurgical silicon to polycrystalline silicon is complex and requires specialized equipment and expertise. It is recommended that you work with experienced professionals in the field to ensure the best possible outcome.
To overcome the higher segregation index element in metallurgical silicon and refine it into polycrystalline silicon, you will need to use a process called zone refining or fractional crystallization. This involves melting the silicon and then slowly solidifying it, allowing impurities such as phosphorus and boron to move towards one end of the ingot.
The impurities can then be removed from that end, leaving a more purified silicon material behind.
In addition to zone refining, you may also need to use other purification techniques such as chemical purification or distillation to further remove impurities from the silicon.
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I'm working on a Cleaning Validation by TOC on 5 differents MOC:
- Stainless steel
-Glass
-PTFE (Téflon)
- Silicone
-PU (polyurethane)
I'm expériencing problem to obtain proper Blank coupons especially with the silicone.
I'm looking for any tips to clean my coupons properly.
thanks in advance
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Hi Cecile,
Sorry, I just saw your question.
Contact me at andywalsh@clean6sigma.com and I can provide you with some information about a cleaning agent we developed specifically for preparing coupons for TOC analysis.
Best regards,
Andrew Walsh
President
Center for Pharmaceutical Cleaning Innovation
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At the start of the week, Fed Chair Jerome Powell made clear that the Fed would continue rate hikes as year over year inflation, although down from its 9.1% peak remained stubbornly high at 6%. This is 4% above the Fed's target of 2%. The odds of a 50 basis point hike in the federal funds rate target seemed likely at the fed's next policy meeting. However, the collapse of SVB, the biggest bank failure in the U.S. since the 2008 financial crisis and concern about contagion to other banks, has raised the question of whether the Fed will revise its future rate increases downward in coming months in 2023. It also raises the question of whether a Recession in 2023 and 2024 has now become more likely.
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Thank you, Ljubomir for your helpful contribution to this discussion.
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I think the best way to stop the collapse of this bank is to ban a run on the bank and not allow all depositors to withdraw money at the same time. In my theory, "forbid all depositors from withdrawing money at the same time" is a program, and economic activity is a procedure, and the government, as the brain of the country, has the right to establish such a procedure. Of course, what if someone is in urgent need of money? This can be reviewed, by the relevant person to check if he really need the money, this practice is also a program.
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The fact that you need to or you are forced to take some regulatory action (including measures described in your question), doesn’t mean you these actions and beneficious to the stability of financial system. To the contrary, the history of bunk runs teaches us many in many instances that with regulatory action it could be already to late to take any trust building actions. To block anyone’s deposited funds ‘because he/she doesn’t need it right now’ will be perceived very badly by any standard. If you want to analyse bunk runs, you always should look for root causes, se e. g. this chart: https://static.seekingalpha.com/uploads/2023/3/10/54854261-167846667332821.png Best luck with your research.
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I need adavice regarding application of Silicon Heating Element which is a contact based heating method. I wish to heat such an arrangement heating plate with pin ( a concept as of now) this wold indeed heat my impeller. I need to heat it only till 80 degrees. Later I want to fit the impeller on to a shaft. Please let me know what kind of arrangement/set up would be needed for such a system. Looking forward to your inputs
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Amlaan,
Can you tell us;
a) What the scale of this arrangement is (millimetric, metre-scale, etc)
b) What the medium is that the impeller is moving (gas, liquid, etc.)
c) Any constraints on cost (can you afford to use sliprings on the shaft powering thin-film heaters on the impeller?)
d) Material constraints on the impeller (can I make it out of a modestly conducting metal and make the whole impeller into a heater?)
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I understand that there is a presence of surface defects due to presence of dangling bonds. A Silicon atom at the surface will not have a nearest neighbour to bond with and it will have a space for one electron, thus giving rise to a defect which can act as an electron recombination site. Since the Silicon atom is positively charged when there is no electron in the defect state, it can be called a donor-like state.
I am however unable to understand what acceptor-like states mean? It is mentioned that these states are negatively charged when occupied. I am not able to use the logic of an electron-hungry Silicon atom at the surface to explain acceptor-like states.
Please shed some light on the origin of these two different types of defect states.
Image taken from: doi.org/10.1088/1674-4926/31/11/114005
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hope this video lecture help you to clear your doubt.
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We live in a world powered by computer circuits. Modern life depends on semiconductor chips and transistors on silicon-based integrated circuits, which switch electronic signals on and off. Most use the abundant and cheap element silicon because it can be used to both prevent and allow the flow of electricity; it both insulates and semiconducts.
Until recently, the microscopic transistors squeezed onto silicon chips have been getting half the size each year. It’s what’s produced the modern digital age, but that era is coming to a close. With the internet of Things (IoT), AI, robotics, self-driving cars, 5G and 6G phones all computing-intensive endeavors, the future of tech is at stake. So what comes next?
source: Silicon chips are reaching their limit. Here's the future | TechRadar
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It allowed us to pack more punch in smaller spaces, considering one video card back then had 100s of dip chips and now all of that can be packaged into one qfn packaged chip.
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Hi all,
I wonder whether there is a way to find the original natural product from the modified structure? It is very common to use natural product derivatives in HTS/HCS/in silicon screening to find more potent structures and/or SAR. Once, we have a candidate structure, is there any database where we can do search (based on structure similarity/substructure) and find the originated structure and the source (which plant, microorganism etc.)? Thanks
Best,
Burak
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Hi! I need to etch silicon out from glass surface and at the moment I have no acces to KOH. Can I use other hydroxides such as NaOH or Ca(OH)2 and expect similar results?
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Silicon etchant with hydroxide but without both HF and KOH. ― You may wanto consider: NaOH aq. + (I2, Br2, NaClO3, or Na2Cr2O7·2H2O aq.).
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What are the biggest technological challenges in the production of core-shell nanomaterials?
Can you please tell your experience and/or give comments on morphology control, synthesis precision, stability and durability, economic viability, etc.
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The production of core-shell nanomaterials presents several technological challenges, some of which include:
  1. Controlling the morphology: The morphology of the core-shell nanomaterials can have a significant impact on their properties and performance. Achieving precise control over the size, shape, and composition of the core and shell is therefore critical for producing high-quality core-shell nanomaterials.
  2. Achieving synthesis precision: Core-shell nanomaterials can be synthesized using a variety of methods, including chemical vapor deposition, electrospinning, and sol-gel synthesis. However, achieving high levels of synthesis precision can be challenging, particularly when it comes to controlling the thickness and composition of the shell.
  3. Ensuring stability and durability: Core-shell nanomaterials can be prone to degradation or instability, particularly if the shell is not able to protect the core from environmental factors such as moisture, heat, or pH fluctuations. Ensuring the stability and durability of core-shell nanomaterials is therefore critical for their long-term performance and viability.
  4. Addressing economic viability: The production of core-shell nanomaterials can be expensive, particularly if large quantities are required. Finding ways to produce core-shell nanomaterials at a reasonable cost is therefore an important challenge for the field.
My experience with core-shell nanomaterials has primarily been in the area of nanocatalysis, where core-shell nanoparticles are used as catalysts in a variety of chemical reactions. In my experience, controlling the size, shape, and composition of the core and shell is critical for achieving high catalytic activity and selectivity. Additionally, ensuring the stability and durability of the nanoparticles is important for maintaining their performance over multiple catalytic cycles.
In terms of economic viability, finding ways to scale up the production of core-shell nanoparticles while maintaining their quality and performance is a major challenge. This often requires the development of new synthesis methods that are cost-effective and scalable, without compromising on the precision and control needed to produce high-quality core-shell nanomaterials.
Overall, the production of core-shell nanomaterials presents several technological challenges, ranging from controlling the morphology and achieving synthesis precision, to ensuring stability and durability and addressing economic viability. Overcoming these challenges will be critical for the widespread adoption and application of core-shell nanomaterials in various fields, including catalysis, energy storage, and biomedicine.
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Hi all, I wish to know about a common problem faced by most of the researchers who are dealing with silicon materials. The problem is that there is high pressure inside jar when I mix silicon with water or alcohol. After that it is more difficult to open jar because of high pressure. Why is there high pressure
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thank you for your answer
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Deoxidation at 1000℃ for 30 minutes.
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Thanks for your input. I'm not very familiar with deoxidizng patterned wafers but only planar ones so have not observed it make such distinct structural changes to a substrate so assumed perhaps something in addition to surface diffusion was occurring.
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In laser drilling of silicon, I would like measure the HAZ around the drilled hole in simulation. It is easy to find out in the experiment as I can measure dark colored region. For metals, it is easy to find out HAZ as they have a range for recrystallization temperature. But I am not sure for semiconductor and ceramic materials.
Please share if you have any experience.
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Simülasyonda lazerle delinmiş bir silikonun hazı farklı şekillerde belirlenebilir. Koyu ve kendinden sonraki yerlerde haz ayrı ayrı ölçülür ve farklı değerler ortaya çıkar. Metallerde, yarıiletkenlerde ve seramiklerde genel özellikleri farklı olduğu için haz ölçümüde farklıdır ve lazerin bunların üzerindeki kimyasal etkisi ve bozunumuda farklıdır.
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Silicone contamination remains an issue in manufacturing. We need to convince workers it is a real issue
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Silicon contamination remains a real issue in semiconductor microelectronics manufacturing because it can cause serious problems in the performance and reliability of devices. Silicone can be introduced into the manufacturing process through a variety of sources, including processing equipment, air, and even human skin. Once inside a device, it can cause defects such as increased leakage currents, decreased breakdown voltages, and reduced reliability.
Moreover, silicone is a highly persistent material and can be difficult to remove, making it a persistent problem in microelectronics manufacturing. Additionally, as semiconductor technology continues to advance and feature sizes continue to shrink, the tolerance for contaminants such as silicone becomes even lower, making the issue even more critical.
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Silicon based FeFETS, Ferroelectricity, 2-D Fe FETS
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Dear Adnan Khalil,
The data presented below may shed some light on it:
And what are the major challenges till we are Facing with most typical 2D FeFET reported so far?
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FeFETs Bring Promise And Challenges
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Ferroelectric field effect transistors: Progress and perspective
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Business incubators are all over the world, yet Silicon Valley incubators and startups found the first way out towards exponential growth and scaled up to the top, whilst Dubai incubators & startups not only caught up successfully, but most importantly also helped scoring significantly high GDP per capita. What are the main reasons and practical lessons behind the scenes ?
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Dear Dr Un-Ty Ventures,
You may find the following below data relevant to this subject matter:
Amit Agarwal (Quora)
Unlikely it will be another Silicon Valley. USA has too much going for it. To be able to create a Silicon Valley, you need the following at the minimum:
  1. Multi-dimensional skills. Elon Musk is highly versed in many areas -- design, business, technological vision, team building. Other engineers and businessmen are generally not well versed in other disciplines.
  2. Thinking big (I mean insanely big).
  3. Creating an ecosystem where the right people can hang out and discuss.
  4. Being tough on people. Expecting a lot from them.
  5. Risk taking early customers willing to take a chance on the first iteration of your product.
  6. Mentors -- people who have done it before at some level. Jobs had access to Bill Hewlett and Dave Packard.
  7. Deep and liquid capital markets. Beyond a certain point, it is only public markets that can fund innovation with billions of dollars.
  8. Immigration if needed. Would global talent like to come and work with you? Are you capable of rapidly and easily importing such talent?
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I'd like to know ALD process more detail.
When I put bare silicon on Silane coated glass and make SiO2 on silicon, is there any effect on Silane coated glass such as surface modification?
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Dear Uhyeon Kim,
Here below presented some relevant sources to look at:
The surface of nano-silicon dioxide (nano-SiO2) particles was modified by small molecular coupling agent KH-560 and macromolecular coupling agent SEA-171, respectively, to change the surface activity and structure. Themodified nano-SiO2 was then used for reinforcing cyanate ester resin (CE). Influences of the content of nano-SiO2and the interfacial structure over the thermal and frictional properties of nano-SiO2/CE composites were in-vestigated. The mechanism of the surface modification of silicon dioxide by KH-560 and SEA-171 was discussed.The experimental results show that the addition of coupling agents increased the interfacial bonding betweennano-SiO2 particles and the CE resin so that the heat resistance and friction properties of the composites wereimproved. After surface treatment of nano-SiO2 by SEA-171, the thermal decomposition temperature of the3.0 wt% nano-SiO2/CE composites increased nearly by 75 °C and the frictional coefficient was reduced by 25%compared with that of the pure CE, and the wear resistance increased by 77%. (PDF) Influences of surface modification of nano-silica by silane coupling agents on the thermal and frictional properties of cyanate ester resin.
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How does a Silane Modify a Surface?
Selecting A Silane for Surface Modification - Inorganic Substrate Perspective
Hydrophobic Silane Surface Treatments
Superhydrophobicity and Oleophobicity
Hydrophobicity is frequently associated with oleophilicity, the affinity of a substance for oils, since non-polar organic substitution is often hydrocarbon in nature and shares structural similarities with many oils. The hydrophobic and oleophilic effect can be differentiated and controlled. At critical surface tensions of 20-30 mN/m, surfaces are wetted by hydrocarbon oils and are water repellent. At critical surface tensions below 20, hydrocarbon oils no longer spread and the surfaces are both hydrophobic and oleophobic. The most oleophobic silane surface treatments have fluorinated long-chain alkyl silanes and methylated medium chain alkyl silanes. Superhydrophobic surfaces are those surfaces that present apparent contact angles that exceed the theoretical limit for smooth surfaces, i.e. >120°. The most common examples of superhydrophobicity are associated with surfaces that are rough on a sub-micron scale and contact angle measurements are composites of solid surface asperities and air; denoted as the Cassie state. Perfectly hydrophobic surfaces (contact angles of 180°) have been prepared by hydrolytic deposition of methylchlorosilanes as microfibrillar structures. Hydrophobicity vs Water Permeability Although silane and silicone derived coatings are in general the most hydrophobic, they maintain a high degree of permeability to water vapor. This allows coatings to breathe and reduce deterioration at the coating interface associated with entrapped water. Since ions are not transported through non-polar silane and silicone coatings, they offer protection to composte structures ranging from pigmented coatings to rebar reinforced concrete. Automotive side windows are treated with fluoroalkylsilanes to provide self-cleaning properties. Water beads remove soil as they are blown over the glass substrate during acceleration. Perfect Hydrophobicity-180° The methylsilicone phase separates in ethanol to form a covalently attached fibrillar network. Fiber diameter is ~20 nm. Ellipsometry indicates a film thickness of ~20 nm. T. McCarthy, J. Am. Chem. Soc., 2006, 128, 9052. toluene-swollen crosslinked covalently attached methylsilicone CH3SiCl3 toluene trace H20 1) ethanol extraction S
Hydrophilic Silane Surface Treatments
The vast majority of surfaces are hydrophilic. Water is omnipresent in the environment, yet the precise nature of interaction of water with specific surfaces is largely unknown. Water adsorption may be uniform or in isolated patches. It may be driven by a number of different physical and chemical processes. The adsorption of water by a surface may be assisted or retarded by other adsorbents present in the environment. The purpose of applying a hydrophilic surface treatment is to control both the nature and extent of interaction of water with a surface. The controlled interaction of water with substrates can offer various degrees of hydrophilicity ranging from physics-sorption to chemin-sorption and centers for ion-interaction. The utility of hydrophilic surfaces varies widely. Anti-fog coatings exploit high surface energies to flatten water droplets rather than allowing them to form light-scattering droplets. In biological systems hydrophilic surfaces can reduce nonspecific bonding of proteins. Hydrophilic coatings with hydrogen bonding sites allow formation of tightly adherent layers of water with high lubricity in biological systems and the ability to resist oil adsorption in anti-graffiti coatings. They can also be used to disperse particles in aqueous coatings and oil-in-water emulsions. Hydrophilic coatings with ionic sites form antistatic coatings, dye receptive surfaces and can generate conductive or electrophoretic pathways. Thick films can behave as polymeric electrolytes in battery and ion conduction applications. In general, surfaces become more hydrophilic in the series: non-polar < polar, no hydrogen-bonding < polar, hydrogen-bonding < hydroxylic < ionic. The number of sites and the structure and density of the interphase area also have sig- nificant influence on hydrophilicity. Much of the discussion of hydrophobicity centers around high contact angles and their measurement. As a corollary, low or 0° contact angles of water are associated with hydrophilicity, but practically the collection of consistent data is more difficult. Discriminating between surfaces with a 0° contact angle is impossible. The use of heat of immersion is a method that generates more consistent data for solid surfaces, provided the surface does not react with, dissolve or absorb the tested liquid. Another important consideraton is whether the water adsorbed is “free” or “bound.” Free water is water that is readily desorbed under conditions of less than 100% relative humidity. If water remains bound to a substrate under conditions of less than 100% relative humidity, the surface is considered hygroscopic. Another description of hygroscopic water is a boundary layer of water adsorbed on a surface less than 200nm thick that cannot be removed without heating. A measure of the relative hygroscopic nature of surfaces is given by the water activity, the ratio of the fugacity, or escaping tendency, of water from a surface compared to the fugacity of pure water. The hydrophilicity of a surface as measured or determined by contact angle is subject to interference by loosely bound oils and other contaminants. Heats of immersion and water activity measurements are less subject to this interference. Measurements of silane-modified surfaces demonstrate true modification of the intrinsic surface properties of substrates. If the immobilized hydrophilic layer is in fact a thin hydrogel film, then swelling ratios at equilibrium water absorbtion can provide useful comparative data.
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Recently, I synthesized silicon/carbon material by magnesiothermic reduction of silica/carbon precursor. I found that MgO was hard to remove. I used 2M, 5M 12M HCl, and stirred overnight with different temperature( 55, 80, 120℃). Also, I washed my sample for many times but it still can not work. MgO peaks in XRD pattern are still very high.
I want to know how can I remove MgO in magnesiothermic reduction.
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EDTA is highly soluble in water. To remove the complex and EDTA, you can use a method called dialysis. This involves placing the solution in a semi-permeable membrane, such as a dialysis bag, and allowing the water to pass through the membrane while the complex and EDTA remain trapped inside. Once the water has passed through, the complex and EDTA can be removed from the bag.
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The crystalline fraction can be determined by integration the areas under the crystalline and amorphous diffraction pattern.Are there any one help me to do it using Origin ?
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Why is there a need for a phase shifter/controller in Silicon external cavity laser with dual-rings?
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Not a length requirement, but it must provide at least 2pi of phase shift range.
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2D FeFETs, Silicon Based FETs
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Dear Adnan Khalil,
Information presented below is quite educational:
The memory market is going in several different directions at once. On one front, the traditional memory types, such DRAM and flash, remain the workhorse technologies in systems despite undergoing some changes in the business. Then, several vendors are readying the next-generation memory types in the market.
As part of an ongoing series, Semiconductor Engineering will explore where the new and traditional memory technologies are heading. In this segment, Stefan Müller, chief executive of Ferroelectric Memory Co. (FMC), sat down with Semiconductor Engineering to discuss memory technology and other topics. Startup FMC is developing ferroelectric FETs (FeFETs), a new memory type. The technology can also be applied to logic. What follows are excerpts of that conversation.
SE: FMC is developing a new technology called FeFETs. FMC’s memory technology is based on the ferroelectric properties of hafnium oxide. How is FeFET different than a traditional ferroelectric RAM (FRAM)?
Müller: Standard FRAM is based on a 1T-1C memory cell in which the ferroelectric film is implemented in the capacitor. FRAM has not scaled beyond the 130nm technology node due to the fact that only planar capacitors can be used, and the traditional ferroelectric films are not scalable. This has prevented traditional FRAM from widespread adoption. In comparison, the hafnium oxide based FeFET from FMC is a totally different memory cell in which the ferroelectric actually replaces the gate dielectric of a CMOS transistor. With the ferroelectric film thicknesses thinned down below 5nm, it is therefore scalable to the latest technology nodes. FMC aims for a new wave of ferroelectric memories finally reaching the long-envisioned entry into mass markets.
SE: FMC is developing a one-transistor (1T) FeFET. What is a FeFET?
Müller: You can think of the FeFET as a logic transistor that can maintain its logic state even when power is removed. In general, you replace the conventional logic gate dielectric with a ferroelectric material, a dielectric that remembers the electric field to which it had been exposed. With FMC’s proprietary hafnium oxide, the standard gate dielectric can be made ferroelectric—even for film thicknesses that compare to the one used in standard logic transistors. This proprietary hafnium oxide integrates extremely well with all current and future processes utilizing HKMG. Therefore, a scalable ferroelectric FET finally becomes possible.
Fig. 1: FeFET (n-type) functionality. When the ferroelectric polarization points downward (left), electrons invert the channel region, permanently bringing the FeFET into the “on” state. If polarization points up (middle), permanent accumulation is created and the FeFET is in the “off” state. Source: FMC. SE: FeFETs, according to FMC, provide fast switching at low power. FMC says it provides a 1,000X improvement in per-bit write energy. How does it work?
Müller: In FeFETs, a permanent dipole is formed within the gate dielectric itself, splitting the threshold voltage of the ferroelectric transistor into two stable states. Accordingly, binary states can be stored in the FeFETs similar to how it is done in a flash memory cell. However, as the addition of FeFETs to the existent HKMG technology device suite requires only very few masks, eNVM capability is added at much lower cost than eFlash. The voltages required to switch the FeFETs from one state to the other are in the range of 3 to 5 volts, making the technology scalable and reducing the need for high voltage charge pumps. As the switching is solely a field driven effect from a low program voltage, the eNVM requires the theoretically lowest power possible for write operations.
SE: One of the emerging next-generation logic transistor types is called a negative capacitance (NC) FET or NC finFET. An NC FET promises to provide low power and a steep sub-threshold swing. Like FeFETs, NC FETs use ferroelectric and hafnium-based materials with other dopants. GlobalFoundries and others are exploring NC FETs. Can you use your ferroelectric materials to make NC FETs?
Müller: Absolutely. The NC FET is currently gaining significant momentum exactly because of ferroelectric HfO² and the FeFET. The difference in a way is that you have to use a slightly different gate stack; however, still everything can be based on ferroelectric HfO². If NC FET based on ferroelectric HfO² can indeed be implemented, it will be an industry revolution.
SE: What else?
Müller: FMC is currently focusing on FeFET. This is the fundamental prerequisite to also make NC FETs work.
SE: Right now, FMC is focusing on FeFET for memory applications. What are some of the challenges with FeFETs?
Müller: FeFETs face the same barriers as all newly proposed embedded memories—cost, performance, reliability, yield, ease of manufacturability, and customer adoption. FMC thinks that FeFETs are beginning to show significant value versus other existing and new embedded NVM technologies.
SE: FMC is developing FeFET technology with several partners, including GlobalFoundries as well as NaMLab, a materials R&D house. What have you and your partners demonstrated so far?
Müller: GlobalFoundries has already demonstrated fully functional FMC FeFET memory arrays on their high-volume 28nm HKMG process. A joint paper was presented at the December 2016 IEDM conference, which highlighted the performance and reliability. Additional FeFET experiments between GlobalFoundries and FMC are planned during this year.
SE: GlobalFoundries also has talked about integrating FeFET technology within its 22nm FD-SOI platform. What are the targeted markets for FeFETs?
Müller: First and foremost, FMC is aiming at the embedded NVM space. The speed of bringing it into full production will be determined by customer interest and adoption. In general, the concept could also be interesting and feasible for the standalone NVM and DRAM market. However, these are not the focus markets for FMC.
SE: Will you work with other foundries besides GlobalFoundries on FeFETs?
Müller: FMC is currently only engaged with GlobalFoundries. However, we do anticipate that FeFET technology will be widely deployed through multiple manufacturing partners.
SE: To make FeFETs in the fab, do you need special equipment? Or can you use existing equipment?
Müller: Any HKMG fab should, in principle, be capable of manufacturing FeFET. There is no dedicated equipment required to start development. However, in order to ramp FeFET to production, modifications to existing tools and tool optimizations might be required depending on the respective fab.
SE: Briefly, how do you make FeFETs?
Müller: As published at this year’s IEDM, currently only two additional masks are required for embedding FeFET next to standard CMOS logic. Since FMC’s FeFETs are actually derived from the CMOS baseline process, the ease of integration is a major advantage for FeFETs when compared to other emerging memory technologies.
SE: Is it challenging or expensive to make FeFETs in the fab?
Müller: FMC has acquired significant know-how over the past several years to overcome the FeFET challenges.
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I have synthesized a number of MCM-41 samples with different percentages of substitution of aluminum with silicon. Also, in order to preserve the surfactant, the final samples were not calcined. What is the effect of the presence of CTAB and replacing silicon with aluminum on zeta potential and PZC?
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Dear Rozita Foulady,
You may want to review the following info:
Zeta potential is the electrical potential at the slipping plane. This plane is the interface which separates mobile fluid from fluid that remains attached to the surface. Zeta potential is a scientific term for electrokinetic potential in colloidal dispersions. In the colloidal chemistry literature, it is usually denoted using the Greek letter zeta (ζ), hence ζ-potential. The usual units are volts (V) or, more commonly, millivolts (mV).
https://en.wikipedia.org: Zeta potential - Wikipedia
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The paper presents the influence of fucoidan (FD) on stability of alumina suspensions in the presence of cationic surfactant hexadecyltrimethylammonium bromide (CTAB). The research results show that fucoidan adsorbs on the alumina surface and that the adsorption decreases in the CTAB presence. This is due to formation of the polymer-surfactant complexes characterized by lower affinity for the alumina surface than pure fucoidan. The complex formation was confirmed by the densiometric studies where the increase of the CTAB/FD surface tension in comparison to pure CTAB was observed. It was established that fucoidan possesses great stabilizing efficiency regardless of pH. Furthermore, stability of the fucoidan/alumina system increased after CTAB addition due to the presence of non-adsorbed complexes between the alumina particles. The results indicate that fucoidan could be successfully used as a stabilizer of colloidal suspensions where the presence of surfactant is required, that is in cosmetic and pharmaceutical industries.
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Alteration of Zeta potential and membrane permeability in bacteria: a study with cationic agents
In the present study, we have tried to establish the correlation between changes in Zeta potential with that of cell surface permeability using bacteria (Escherichia coli and Staphylococcus aureus). An effort has been made to establish Zeta potential as a possible marker for the assessment of membrane damage, with a scope for predicting alteration of cell viability. Cationic agents like, cetyl trimethyl ammonium bromide and polymyxin B were used for inducing alteration of Zeta potential, and the changes occurring in the membrane permeability were studied. In addition, assessment of poly-dispersity index (PDI), cell viability along with confocal microscopic analysis were performed. Based on our results, it can be suggested that alteration of Zeta potential may be correlated to the enhancement of membrane permeability and PDI, and it was observed that beyond a critical point, it leads to cell death (both Gram-positive and Gram-negative bacteria). The present findings can not only be used for studying membrane active molecules but also for understanding the surface potential versus permeability relationship.
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I have some basic doubts-
  1. Why is TE mode so important in rectangular silicon optical waveguides? Why not TM mode?
  2. Why most researchers always prefer single mode over multimode waveguide?
  3. Could any one suggest a good article/paper for FDTD simulation of silicon waveguides in Lumerical?
  4. Does the rectangular cross section (width>height) of rectangular optical waveguide makes it polarization maintaining?
Thank you.
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I did a search for "how does single mode optical fibre maintain polarization"
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Through thermal evaporation, I deposited a layer of Ag on silicon oxide / silicon substrate, but a malfunction of the machine meant that a much larger layer was deposited than necessary. I need to recover the substrate. Is there a way?
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We had an experience with dissolving silver films in a 1:1 mixture of H2O2 and NH4OH made from just ordinary pharmacy solutions. It worked.
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Where can I order a polished polycrystalline Silicon wafer? Any suggestions are welcome.
Thanks!
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Dear Tijmen Vermeij,
Some commercially available options are presented below:
Polished Silicon Wafer
(2447 products available)
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Polycrystalline silicon wafers
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I have to solve this problem, but im not an expert on CVD technique, i tryed to look for some usefull sources but i couldn't find anything can some one explain it or link something that could help?
Calculate the growth rate of the silicon epitaxial layer using reduction reaction of hydrogen and tetrachlorosilane mixture. The concentration of tetrachlorosilane in the gas flow is 0.1% (volume), the process is carried out under atmospheric pressure at the temperature set at 1273 K. Si: Ca = 5 × 1022 cm-3, hg = 7 cm/s (between 5 and 10), k = 8.62.10-5 eV/K - Bolzmann constant. Experimentally is established that surface reaction rate ks is 0.302 cm/s. Cg ~ pSiCl4/(kT)
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This question is explained in the Semiconductor Devices (Physics and Technology), S. M. SZE.
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Dear Sir or Madam
Greeting, the following error appears when I attempt to extract the junction capacitance of a P-I-N diode (with two anodes and one cathodes contacts): "Cannot construct the curve." the codes I tried on the Atlas(not Athena) are:
extract start material="Silicon" mat.occno=2 bias=0.0 bias.step=0.25 bias.stop=-5 x.val=10 region.occno=1
extract done name="P-I-N capacitance" curve(bias,1djunc.cap material="Silicon" mat.occno=2 temp.val=300 x.val=10 region.occno=1 junc.occno=2) outfile="extract.dat"
Can anyone tell me which codes terms are incorrect? or How can I extract the junction capacitance (by voltage) in another way in Silvaco?
Regards
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How to extract area and peri component? Do you have equation? Help me...