Minghua Li’s research while affiliated with Agency for Science, Technology and Research (A*STAR) and other places

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Publications (45)


Optical properties of scandium-doped aluminum nitride thin film for integrated photonics
  • Conference Paper

March 2025

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7 Reads

Nanxi Li

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Wing Wai Chung

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[...]

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Chengkuo Lee






a) The evolution of remnant polarization during field cycling shows a saturated polarization of 104 µC cm⁻² and the need of ≈10 cycles for full wake‐up. The inset shows the PUND pulse train. b) The first 10 P‐E hysteresis loops. c) Corresponding Transient I–V curves. The inset schematically shows the polar states and ionic displacements involved in polarization switching. d) Cross section of the capacitor device, high‐resolution TEM image and mapping of element distribution.
Normalized switched polarization as a function of the pulse duration and amplitude fitted by the NLS model for a) 50 nm and c) 30 nm and corresponding distribution function b), d). e) Monte‐Carlo modeling of the P‐V loop based on the distribution function. f) Voltage‐dependence of the characteristic switching time measured at room temperature, 100 °C and 200 °C.
a) NLS fitting of 50 nm film with varying electrode size. b) Size‐dependence of the characteristic time t0 of 50 nm AlScN shows no discernible trend. The characteristic length is defined as the square‐root of the device area. c) Characteristic switching time of HZO decreases with decreasing electrode size. Data of the 15 and 10 nm HZO are extracted from the literature.[30,32] d) Schematic illustration of polarization switching process and characteristic time scale. e) Schematic illustration of size dependence of nucleation‐based and domain wall motion‐based mechanism.
a) Defects act as nucleation sites in the nucleation‐based mechanism. b) Comparison of the distribution function of 30 and 50 nm AlScN at 4.5 MV cm⁻¹. c) Temperature‐dependent distribution function of 50 nm AlScN at 4 MV cm⁻¹. The temperature acceleration effect reflects the nucleation‐based mechanism. d) Defects act as pinning sites for domain wall propagation in the domain wall‐motion‐based mechanism. e) Temperature‐dependent distribution function of 10 nm HZO at 3 MV cm⁻¹. The characteristic switching time decreases with increasing temperature, suggesting a domain wall motion‐based mechanism. f) Comparison of the opposite temperature dependence of AlScN and HZO.[³²]
Time‐dependent dielectric breakdown (TDDB) characteristics of a) 50 nm and b) 30 nm AlScN films at room temperature. The insets show corresponding Weibull distribution. c) Lifetime prediction of 50 nm AlScN at a failure rate of 0.1%, 10%, and 63.2% under room temperature and 150 °C. d) TDDB area scaling with constant voltage stress at 6.2 MV cm⁻¹ for 50 nm samples. e) Distribution of charge‐to‐breakdown for 30 and 50 nm samples.

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Ferroelectric Aluminum Scandium Nitride Transistors with Intrinsic Switching Characteristics and Artificial Synaptic Functions for Neuromorphic Computing
  • Article
  • Publisher preview available

August 2024

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215 Reads

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8 Citations

Aluminum Scandium Nitride (Al1−xScxN) has received attention for its exceptional ferroelectric properties, whereas the fundamental mechanism determining its dynamic response and reliability remains elusive. In this work, an unreported nucleation‐based polarization switching mechanism in Al0.7Sc0.3N (AlScN) is unveiled, driven by its intrinsic ferroelectricity rooted in the ionic displacement. Fast polarization switching, characterized by a remarkably low characteristic time of 0.00183 ps, is captured, and effectively simulated using a nucleation‐limited switching (NLS) model, where the profound effect of defects on the nucleation and domain propagation is systematically studied. These findings are further integrated into Monte Carlo simulations to unravel the influence of the activation energy for ferroelectric switching on the distributions of switching thresholds. The long‐term reliability of devices is also confirmed by time‐dependent dielectric breakdown (TDDB) measurements, and the effect of thickness scaling is discussed. Ferroelectric field‐effect transistors (FeFETs) are demonstrated through the integration of AlScN and 2D MoS2 channel, where biological synaptic functions can be emulated with optimized operation voltage. The artificial neural network built from AlScN‐based FeFETs achieves 93.8% recognition accuracy of handwritten digits, demonstrating the potential of ferroelectric AlScN in future neuromorphic computing applications.

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Demonstration of 10 nm Ferroelectric Al0.7Sc0.3N-Based Capacitors for Enabling Selector-Free Memory Array

January 2024

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126 Reads

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8 Citations

In this work, 10 nm scandium-doped aluminum nitride (AlScN) capacitors are demonstrated for the construction of the selector-free memory array application. The 10 nm Al0.7Sc0.3N film deposited on an 8-inch silicon wafer with sputtering technology exhibits a large remnant polarization exceeding 100 µC/cm² and a tight distribution of the coercive field, which is characterized by the positive-up-negative-down (PUND) method. As a result, the devices with lateral dimension of only 1.5 μm show a large memory window of over 250% and a low power consumption of ~40 pJ while maintaining a low disturbance rate of <2%. Additionally, the devices demonstrate stable multistate memory characteristics with a dedicated operation scheme. The back-end-of-line (BEOL)-compatible fabrication process, along with all these device performances, shows the potential of AlScN-based capacitors for the implementation of the high-density selector-free memory array.


Leakage Mechanism and Cycling Behavior of Ferroelectric Al0.7Sc0.3N

January 2024

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223 Reads

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12 Citations

Ferroelectric scandium-doped aluminum nitride (Al1-xScxN) is of considerable research interest because of its superior ferroelectricity. Studies indicate that Al1-xScxN may suffer from a high leakage current, which can hinder further thickness scaling and long-term reliability. In this work, we systematically investigate the origin of the leakage current in Al0.7Sc0.3N films via experiments and theoretical calculations. The results reveal that the leakage may originate from the nitrogen vacancies with positively charged states and fits well with the trap-assisted Poole-Frenkel (P-F) emission. Moreover, we examine the cycling behavior of ferroelectric Al0.7Sc0.3N-based FeRAM devices. We observe that the leakage current substantially increases when the device undergoes bipolar cycling with a pulse amplitude larger than the coercive electric field. Our analysis shows that the increased leakage current in bipolar cycling is caused by the monotonously reduced trap energy level by monitoring the direct current (DC) leakage under different temperatures and the P-F emission fitting.


Citations (23)


... CIM has been recognized as a promising approach for accelerating core operations, such as vector-matrix multiplication (VMM), which are central to DNN computations. Various non-volatile memory devices, including resistive random-access memory (ReRAM) [13][14][15][16][17][18][19][20][21][22][23][24][25][26], phase-change memory (PCM) [27][28][29][30][31][32][33][34][35][36], and ferroelectric devices [37][38][39][40][41][42][43][44][45][46], have been investigated for CIM applications due to their distinctive properties. Among them, flash memory has gained significant attention in the CIM application [47][48][49][50][51][52][53][54][55][56]. ...

Reference:

Wordline Input Bias Scheme for Neural Network Implementation in 3D-NAND Flash
Ferroelectric Aluminum Scandium Nitride Transistors with Intrinsic Switching Characteristics and Artificial Synaptic Functions for Neuromorphic Computing

... Many recent reviews have thoroughly discussed the key advantages and future directions of AlScN as an FE material, emphasizing its growing importance in high-performance devices [9][10][11][12]. However, a comprehensive understanding of how different deposition techniques and conditions influence their structural, electrical, and [36] FE properties is still lacking. Such knowledge is crucial for optimizing fabrication processes and enhancing device performance to meet the stringent requirements of modern electronic applications. ...

Leakage Mechanism and Cycling Behavior of Ferroelectric Al0.7Sc0.3N

... 10,11 The incorporation of scandium (Sc) into AlN has shown significant potential to enhance its piezo performance and electromechanical coupling coefficient and reduce leakage current. [12][13][14] In our previous work, 15 we have deposited RF sputtered AlN thin films at low sputtering power. In the present work, we have further increased the sputtering power to improve crystallinity in the grown films. ...

In-wafer Stress-dependent Leakage Current in Ferroelectric Scandium-doped Aluminum Nitride
  • Citing Conference Paper
  • July 2023

... However, precise determination of the saturated polarization remained challenging due to the high leakage observed in the ultra-thin film. [54][55][56] Next, quasi-DC I-V measurements were conducted to investigate switching performance under slow sweeping conditions. A DC I-V hysteresis measurement was performed on the capacitor, sweeping from 5.2 V to -5.2 V with a 0.025 V step size. ...

Leakage Mechanism of Ferroelectric Al 0.7 Sc 0.3 N Ultra-thin Film
  • Citing Conference Paper
  • July 2023

... This suggests that Mo is a promising top electrode material for FE AlScN thin films, particularly when grown on ultrathin electrodes. Further exploration of the effects of stress on leakage in these films, particularly in 100-nm FE AlScN films sputtered on 50-nm Mo on an 8-inch wafer, demonstrated a direct correlation between in-plane stress and increased leakage, as manifested in Fig. 6f [62]. ...

Stress effect on the leakage current distribution of ferroelectric Al0.7Sc0.3N across the wafer
  • Citing Article
  • September 2023

... Various growth processes and parameters significantly impact the lattice polarity and crystalline quality of FE AlScN thin films, which in turn affect their overall properties. For example, factors such as sputtering power, gas ratio, and substrate choice directly influence key characteristics of the films, including current leakage and P r [55,56]. Early sputtering methods produced FE AlScN thin films with poor quality and little control over lattice polarity, highlighting the need for improved techniques [57]. ...

Ultrathin Pt and Mo films on Al1–Sc N: an Interface Investigation
  • Citing Article
  • July 2023

Applied Surface Science

... The wurtzite materials have served as a type of mature piezoelectric material for a long time due to their promising acoustic application in the microelectromechanical systems (MEMS). 11,12 The discovery of ferroelectricity in the Sc-doped AlN has opened a broad avenue for the study of wurtzite ferroelectrics. 13 In recent several years, the wurtzite ferroelectrics have been intensively studied due to their compatibility with the CMOS technology, and the atomic-scale polarization switching mechanism has also been clarified by the scanning transmission electron microscopy (STEM) approach. ...

Scandium-Doped Aluminum Nitride for Acoustic Wave Resonators, Filters, and Ferroelectric Memory Applications
  • Citing Article
  • December 2022

ACS Applied Electronic Materials

... 5,15,16 This points to the possibility that leakage currentsespecially at low thicknessmay not be tied intimately to structural defects. 17,18 ...

Understanding effect of distortions and vacancies in wurtzite AlScN ferroelectric memory materials: Vacancy-induced multiple defect state types and relaxation dependence in transition energy levels

... Diffraction analyses from bulk regions (Regions 2 and 3, R2 & R3) reveal almost uniform crystalline throughout the film, even at grain boundaries where nitrogen vacancies are prone to accumulate. These optimized fabrication measures effectively suppress oxidation at the interface and nitrogen vacancy formation within the bulk, ensuring superior crystalline and enhanced breakdown characteristics [9], [10]. ...

Oxidation of sputtered AlScN films exposed to the atmosphere
  • Citing Conference Paper
  • October 2022