Guangcun Shan

• PhD, BEng
• Professor at Beihang University

Inhibiting the shuttle of polysulfides is of great significance for promoting the practical application of lithium–sulfur batteries (LSBs). Here, an imine‐linked covalent organic framework@carbon nanotube (COF@CNT) interlayer composed of triazine and boroxine rings is constructed between the sulfur cathode and the separator for polysulfides recepti...

In the past decade, with the rapid development of wearable electronics, medical health monitoring, the Internet of Things, and flexible intelligent robots, flexible pressure sensors have received unprecedented attention. As a very important kind of electronic component for information transmission and collection, flexible pressure sensors have gain...

Organic materials with rich active sites are good candidates of high-capacity anodes in aqueous batteries, but commonly low utilization of active sites limits their capacity. Herein, two isomers, symmetric hexaazatribenzanthraquinone (s-HATBAQ) and asymmetric one (a-HATBAQ), with rich active sites have been synthesized in a controllable manner. It...

The real atomic scale details of molecular junctions would be of much complexity and can yield a plethora of “counterintuitive” results. Here, we provide an overview of four unconventional intentional or unintentional transport phenomena in molecular junctions, in particular, unconventional tunneling length-dependent transport behavior, deviation f...

Although graphene is by far the most famous example of two-dimensional (2D) materials, which exhibits a wealth of exotic and intriguing properties, it suffers from a severe drawback. In this regard, the exploration of silicene, the silicon analog of the graphene material, has attracted substantial interest in the past decade. This review therefore...

The practical application of porous organic polymers (POPs) in Li–S batteries (LiSBs) is severely hampered by low sulfur loading and weak chemisorption. Here, a novel organosulfur copolymer host ([email protected]/S) with polar nitrogen-rich heteroatoms is prepared by in situ anchoring of sulfur in 3D perfluorinated hierarchical porous polymers via...

Oxygen electrocatalysts are of great importance for the air electrode in zinc—air batteries (ZABs). Owing to large surface area, high electrical conductivity and ease of modification, two-dimensional (2D) materials have been widely studied as oxygen electrocatalysts for the rechargable ZABs. The elaborately modified 2D materials-based electrocataly...

Two-dimensional (2D) ferromagnets with large magnetic anisotropy are promising in modern spintronics, but low Curie temperature and small magnetic anisotropy energy (MAE) hinder their applications seriously. Herein, by employing density functional theory (DFT) calculations, we predict a new kind of 2D ferromagnetic materials - GdB2N2, which possess...

A machine learning (ML) method aided by domain knowledge was proposed to predict saturated magnetization (Bs) and critical diameter (Dmax) of soft magnetic metallic glass (MGs). Two datasets were established based on published experimental works about soft magnetic MGs. A general feature space was proposed and proved to be adaptive for ML model tra...

Novel 2D ferromagnets with high Curie temperature and large perpendicular magnetic anisotropy are especially attractive owing to the future promising application in modern spintronics, but meanwhile the 2D ferromagnetic materials with high Curie temperature and large perpendicular magnetic anisotropy are rarely reported. Based on density functional...

In this paper a dynamic Artificial Neural Network (ANN) model called Meta-ANN is developed for forecasting the short-term grid load. The primary ingredient of the model is a base module which is an ANN trained over a large historical data set to learn the long-term trend and seasonality of grid load. To capture the nonstationary pattern of the grid...

Flexible pressure sensors based on MXene have made significant progress in various fields. However, the development of miniature flexible pressure sensors with high sensitivity and wide sensing range remains a challenge. In this study, a flexible pressure sensor based on MXene and polyvinyl alcohol (PVA) with ultra-high sensitivity, wide sensing ra...

High entropy alloys (HEAs) with excellent combination performance of magnetic and mechanical properties were rationally designed via intelligent algorithms combined with metallurgical knowledge.

Multifunctionality, interference-free signal readout, and quantum effect are important considerations for flexible sensors equipped within a single unit towards further miniaturization. To address these criteria, we present the slotted carbon nanotube (CNT) junction features tunable Fano resonance driven by flexoelectricity, which could serve as an...

The development of flexible capacitive pressure sensors has wide application prospects in the fields of electronic skin and intelligent wearable electronic devices, but it is still a great challenge to fabricate capacitive sensors with high sensitivity. Few reports have considered the use of interdigital electrode structures to improve the sensitiv...

Temporal action proposal generation aims to output the starting and ending times of each potential action for long videos and often suffers from high computation cost. To address the issue, we propose a new temporal convolution network called Multipath Temporal ConvNet (MTCN). In our work, one novel high performance ring parallel architecture based...

The novel coronavirus disease, COVID-19, has rapidly spread worldwide. Developing methods to identify the therapeutic activity of drugs based on phenotypic data can improve the efficiency of drug development. Here, a state-of-the-art machine-learning method was used to identify drug mechanism of actions (MoAs) based on the cell image features of 11...

Europium, one of the rare-earth elements, exhibits +2 and +3 valence states and has been widely used for the magnetic modification of materials. Based on density functional theory calculations, we predicted 2D EuBr/graphene heterojunctions to exhibit metallicity, huge intrinsic-ferromagnetism nearly 7.0 μB per Eu and the special monovalent Eu ions....

Due to its excellent electrical conductivity, good hydrophilicity, excellent mechanical properties, large and adjustable interlayer spacing, rich surface functional groups and large specific surface area, MXenes have attracted great attention in energy storage and conversion, sensors, electromagnetic shielding and biomedical fields. The unique surf...

Fe-based metallic glasses (MGs) have shown great commercial values due to their excellent soft magnetic properties. Magnetism prediction with consideration of glass forming ability (GFA) is of great significance for developing novel functional Fe-based MGs. However, theories or models established based on condensed matter physics exhibit limited ac...

Europium, one of the rare earth elements, exhibits +2 and +3 valence states and has been widely used for magnetic modification of materials. Based on density functional theory calculations, we predict the 2D EuBr/graphene heterojunctions to exhibit metallicity, huge intrinsic-ferromagnetism nearly 7.0 {\mu}B per Eu and the special monovalent Eu ion...

Catalytic fast pyrolysis (CFP) is a promising technology that can allow the conversion of biomass into transportable fuels. Despite its advantages in terms of simplicity and economic efficiency, the CFP of biomass has not been commercially applied. One of the biggest challenges is the precise design of highly effective zeolite catalysts tailored fo...

Magnetism prediction is of great significance for Fe-based metallic glasses (FeMGs), which have shown great commercial value. Theories or models established based on condensed matter physics exhibit several exceptions and limited accuracy. In this work, machine learning (ML) models learned from a large amount of experimental data were trained based...

A highly stable 3D π-conjugation covalent triazine-cored framework (Azo-CTF) with triazine as the electron-rich center bridged by azo redox-active linkers is proposed and prepared as cathode materials for improving both rate performance and cycle stability of LIBs, two critical issues addressed in organic electrodes. The synchronous and orderly int...

Background Querying drug-induced gene expression profiles with machine learning method is an effective way for revealing drug mechanism of actions (MOAs), which is strongly supported by the growth of large scale and high-throughput gene expression databases. However, due to the lack of code-free and user friendly applications, it is not easy for bi...

Despite the compositional analogue to Fe71B17(NbYZr)12 metallic glass, the Fe71B17Y12 metallic glass has a saturated magnetization of ca. 118 emu/g, 6 times of that in Fe71B17(NbYZr)12 (20 emu/g). The structural origin for such significant difference in magnetic performance was investigated by X-ray absorption spectra and ab-initio molecular dynami...

The substitution of chemically similar elements in a given crystal structure is an effective way to enhance physical properties, but the understanding on such improvements is usually impeded because the substitutions are random, and the roles of the different atoms cannot be distinguished by crystallographic symmetry. Herein, we provide a detailed...

Gd-based metallic glasses enable a wider exploration for excellent magnetocaloric materials due to no requirement of compositional stoichiometry, but these metallic glasses generally show a lower ordering temperature compared with corresponding intermetallic compounds. In this paper, critical behaviors for magnetic transitions in both Gd6Co4.85 int...

Metal–organic frameworks (MOF), or their derivatives have attracted much attention in recent years due to exciting properties such as high specific surface area, adjustable pore size, and easy functionalization, which makes them have unique advantages in the fields of catalysis, energy storage, and optoelectronics, etc. However, the study of them i...

Research on exposome has been extended to personal exposures, and full assessment of personal exposures is of great significance to personal health monitoring and epidemiological studies. Compared to static measurement instruments, wearable sensors are more suitable for dynamic personal exposures assessment. The development of flexible wearable sen...

Porous carbon as an electrode material has attracted extensive attention in the field of energy storage. Herein, to promote the energy density of carbon‐based materials, a class of in situ nitrogen‐doped 3D carbon skeleton with hierarchical pores through the structural evolution of pyridine‐incorporated porous covalent triazine‐based framework (p‐C...

The sorption removal of radionuclides Sr²⁺ using a freestanding functional membrane is an interesting and significant research area in the remediation of radioactive wastes. Herein, a novel self-assembled membrane consisting of metal–organic framework (MOF) nanobelts and graphene oxides (GOs) are synthesized through a simple and facile filtration m...

Herein, ultra-thin tungsten disulfide nanosheets/carbon nanotubes (WS2-NS/CNTs) hybrids were successfully synthesized by using a one-step hydrothermal method. The WS2-NS is evenly grown on the surfaces of CNTs, leading to a remarkable three-dimensional (3D) heterostructure. Outstanding electromagnetic wave absorption performance of the WS2-NS/CNTs...

As a new class of two-dimensional transition-metal carbide and carbonitride, MXene have been widely used in the energy storage, sensor, catalysis, electromagnetic interference shielding and other field. It is a challenge to simultaneously realize a sensor of extremely high sensitivity, wide detection limits, low power consumption and good mechanica...

As a new class of two-dimensional transition-metal carbide and carbonitride, MXene have been widely used in the energy storage, sensor, catalysis, electromagnetic interference shielding and other field. It is a challenge to simultaneously realize a sensor of extremely high sensitivity, wide detection limits, low power consumption and good mechanica...

The novel coronavirus disease, named COVID-19, emerged in China in December 2019, and has rapidly spread around the world. It is clearly urgent to fight COVID-19 at global scale. The development of methods for identifying drug uses based on phenotypic data can improve the efficiency of drug development. However, there are still many difficulties in...

There are emerging applications for photothermal conversion utilizing MXene, but the mechanism under these applications related interfacial energy migration from MXene to the attached surface layer is still unknown. In this paper, with comprehensive ultrafast studies, we reported the energy migration pathway from MXene (Ti3C2Tx) to local environmen...

There are emerging applications for photothermal conversion utilizing MXene, but the mechanism under these applications related interfacial energy migration from MXene to the attached surface layer is still unknown. Here, the femtosecond pump-probe spectroscopy is employed to elucidate the ultrafast electronic energy dissipation pathways of MXene (...

Gd6FeBi2 is reported as the only one room-temperature magnet among more than hundreds of compounds with its structural type, which makes it more attractive in potential applications. To reveal the origin of such high ordering temperature, critical behaviors, electronic structure and crystal-field effects of Gd6FeBi2 are investigated in this work. T...

In this paper, a robust multiscale neural network is proposed to recognize handwritten mathematical expressions and output LaTeX sequences, which can effectively and correctly focus on where each step of output should be concerned and has a positive effect on analyzing the two-dimensional structure of handwritten mathematical expressions and identi...

Gd6FeBi2 is reported as the only one room-temperature magnet with a Curie temperature (Tc) of ca. 350 K among more than hundreds of compounds with its structural type, which makes it more attractive in potential applications. To reveal the origin of such high ordering temperature, critical behaviors, electronic structure and crystal-field effects o...

A robust yet flexible Al-based metal-organic framework (MOF), Al2(OH)2(bpydc)•0.5H2O (1np), was synthesized by a hydrothermal strategy utilizing 2,2’-bipyridine-5,5’-dicarboxylate (bpydc2-) as the organic ligand. The structure of 1np is built from infinite trans chains of corner-sharing AlO4(OH)2 octahedra interconnected by bpydc2- ligands, forming...

Porous metallic sponge has shown enormous application potential in many fields including electrochemical electrode, catalysis, sensors, separation and purification, microwave and sound inhibition, etc. In this paper, we described the preparation of a class of highly compressible Ni−Co alloy‐based sponges with tailorable conductivity and soft magnet...

Security surveillance of public scene is closely relevant to routine safety of individual. Under the stimulus of this concern, abnormal event detection is becoming one of the most important tasks in computer vision and video processing. In this paper, we propose a new algorithm to address the visual abnormal detection problem. Our algorithm decoupl...

Attributed to high power density and controllable digital program operation, lasers are a powerful tool in the preparation, prototype fabrication, and post‐processing of materials. In this paper, a general laser ablation strategy that can be conducted under ambient, room‐temperature, and mask‐free conditions is employed for the rapid fabrication of...

Presently, deep learning technology has been widely used in the field of image recognition. However, it mainly aims at the recognition and detection of ordinary pictures and common scenes. As special images, remote sensing images have different shooting angles and shooting methods compared with ordinary ones, which makes remote sensing images play...

The sluggish kinetics of Oxygen Reduction Reaction (ORR) at the cathode in proton exchange membrane fuel cells or metal-air batteries requires highly effective and stable electrocatalysts to boost the reaction. The low abundance and high price of Pt-based electrocatalysts hamper the widespread application of proton exchange membrane fuel cells and...

The highly efficient removal of radioactive metal ions (e.g. ¹³⁷Cs, ⁹⁰Sr) remains a challenge from the standpoint of environmental protection and public health. Although adsorption has been proven to be an effective and economical technology to eliminate the radioactive metal ions from aqueous solutions, few adsorption materials have been reported...

Two-dimensional (2D) material-controllable degradation under light radiation is crucial for their photonics and medical-related applications, which are yet to be investigated. In this paper, we first report the laser illumination method to regulate the degradation rate of Ti3C2Tx nanosheets in aqueous solution. Comprehensive characterization of int...

In order to enhance and tune the electrocaloric effect (ECE) and ferroelectric responses, nanocomposites containing ferroelectric copolymer poly(vinylidene fluoride trifluoroethylene) and two-dimensional (2D) graphitic-C3N4 (g-C3N4) are synthesized. The effects of g-C3N4 on the ferroelectric-to-paraelectric phase transition of the copolymer are inv...

Two-dimensional (2D) material-controllable degradation under light radiation is crucial for their photonics and medical-related applications, which are yet to be investigated. In this paper, we first report the laser illumination method to regulate the degradation rate of Ti3C2T x nanosheets in aqueous solution. Comprehensive characterization of in...

With the rapid development of economy, the consumption of fossil fuels, and the increasing environment pollution, there is in urgent need of seeking clean and renewable energy sources, as well as highly efficient and low-cost energy storage technologies. Concerning electrochemically active materials, transition metal oxides (TMOs) are regarded as t...

It has long been a challenging task to detect an anomaly in a crowded scene. In this paper, a self-supervised framework called the abnormal event detection network (AED-Net), which is composed of a principal component analysis network (PCAnet) and kernel principal component analysis (kPCA), is proposed to address this problem. Using surveillance vi...

The crystal structure of the gadolinium iron bis­muthide Gd6FeBi2 has been characterized by single-crystal X-ray diffraction data and analyzed in detail using first-principles calculations. The structure is isotypic with the Zr6CoAl2 structure, which is a variant of the ZrNiAl structure and its binary prototype Fe2P (Pearson code hP9, Wyckoff seque...

Plastic film capacitors suffer from low charge storage capacity due to the low dielectric constant of the polymer (<10). We have devised a polyvinylidene fluoride (PVDF) composite film filled with small graphene oxide (GO) sheets that have aromatic molecules attached to their surfaces. The use of 4,4'-oxydiphenol molecules to functionalize graphene...

Graphene, defined as a single atomic plane of graphite, is a semimetal with small overlap between the valence and the conduction bands. The stacking of graphene up to several atomic layers can produce diverse physical properties, depending on the stacking way. The bilayer graphene is also a semimetal, adopting the AB-stacked (or Bernal-stacked) str...

It is challenging to detect the anomaly in crowded scenes for quite a long time. In this paper, a self-supervised framework, abnormal event detection network (AED-Net), which is composed of PCAnet and kernel principal component analysis (kPCA), is proposed to address this problem. Using surveillance video sequences of different scenes as raw data,...

In-plane asymmetric micro supercapacitors using nitrogen-doped graphene (NG) film as negative electrode and MnO₂ nanostructures as positive electrode are fabricated onto a plastic substrate coated with Ni/Cu film. A laser-scribing machine is employed to make interdigital finger electrodes in the plastic substrate coated with NG film via...

This paper presents a novel planar phased array that can work in Ka band designed for two-dimensional scanning. A four-modes pattern reconfigurable element based on microstrip Yagi antenna is proposed, and then developed into the 4X4 phased array, in which two feed points are introduced to reduce sidelobe level (SLL). The simulated results show tha...

Experimental feasibility of potential quantum sensing and computing applications based on the oxygen-vacancy defect (VBON center) in cubic boron nitride (c-BN) is theoretically predicted by means of first-principles calculations. The proposed VBON center consisting of a boron vacancy (VB) and an adjacent substitutional oxygen (ON) is a plausible qu...

Flexible micro‐supercapacitors (MSCs) in the form of thin sheet are anticipated to be thinnest possible. Having a high energy storage capacity is an added merit of such devices and is also important for practical applications. In this work, we devise double‐side MSCs by using a UV laser to cut interdigital patterns in a 20‐μm‐thick Ni foil with bot...

As an important research topic in computer vision, fine-grained classification which aims to recognition subordinate-level categories has attracted significant attention. We propose a novel region based ensemble learning network for fine-grained classification. Our approach contains a detection module and a module for classification. The detection...

In the real-life environments, due to the sudden appearance of windows, lights, and objects blocking the light source, the visual SLAM system can easily capture the low-contrast images caused by over-exposure or over-darkness. At this time, the direct method of estimating camera motion based on pixel luminance information is infeasible, and it is o...

Offline handwritten mathematical expression recognition is a challenging task, because handwritten mathematical expressions mainly have two problems in the process of recognition. On one hand, it is how to correctly recognize different mathematical symbols. On the other hand, it is how to correctly recognize the two-dimensional structure existing i...

Despite the composition close to glassy forming alloys, face centered cubic (FCC) Co81.8Si9.1B9.1, designed based on Co9B atomic cluster (polyhedral), are synthesized as singlephase ribbons successfully. These ribbons, with grain sizes of ca. 92 nm, show supreme ductility and strong orientation along (111), which couples with shape anisotropy leadi...

Graphene is an ideal 2D material system bridging electronic and photonic devices. It also breaks the fundamental speed and size limits by electronics and photonics, respectively. Graphene offers multiple functions of signal transmission, emission, modulation, and detection in a broad band, high speed, compact size, and low loss. Here, we have a bri...

The potential toxicity and irreversibility of radionuclide Cs place severe pressure on the natural environment, which has become one of the most forefront pollution problems in nuclear energy utilization. To solve this problem, novel self-assembled membranes consisting of two-dimensional (2D) metal-organic frameworks (MOFs) and graphene oxide (GO)...

Graphene is an ideal 2D material system bridging electronic and photonic devices. It also breaks the fundamental speed and size limits by electronics and photonics, respectively. Graphene offers multiple functions of signal transmission, emission, modulation, and detection in a broad band, high speed, compact size, and low loss. Here, we have a bri...

Current fabrication methods of nanoporous gold(NPG) mainly rely on dealloying Ag-Au binary crystalline precursors, typically Ag65Au35, with the “dealloying threshold” or “parting limit” above 55 at%. Here we report a simple chemical dealloying process, through selective dissolution of one element from a Au55Cu25Si20 metallic glass ribbon with low ‘...

Two-dimensional (2D) materials generally have unusual physical and chemical properties owing to the confined electro-strong interaction in a plane and can exhibit obvious anisotropy and a significant quantum-confinement effect, thus showing great promise in many fields. Some 2D materials, such as graphene and MXenes, have recently exhibited extraor...

The two-dimensional (2D) transition metal dichalcogenide, molybdenum disulfide (MoS2), has been demonstrated to be a new class of microwave absorption (MA) material due to its high specific surface area and peculiar electronic properties. However, its limited MA capacity and bandwidth require further improvement. MoS2/RGO composites with improved M...

This letter demonstrates a terahertz (THz) bandpass filter with a center frequency of ~ 340 GHz, low insertion loss of ~ -0.6 dB, and bandwidth of ~ 5.3%. The diaphragm thickness is quantitatively analyzed to obtain accurate filter parameters based on equivalent circuit and diaphragm coupling in THz band for the first time, and the simulation resul...

Significant differences in structural, thermal, mechanical and magnetic properties were observed between traditional FeSiB metallic glass and newly developed FeMB (M = mixture of Zr, Nb and Y) metallic glass. The origin of the differences is attributed to the more negative heat of mixing between boron and the metallic alloying elements. This leads...

By using the atomic cluster model, face centered cubic (FCC) Co81.8Si9.1B9.1 compound is designed and synthesized as ductile single-phase ribbons successfully. These ribbons show strong orientation along (111) and high magnetocrystalline anisotropy with a coercivity of 430 Oe and squareness of 0.82 at room temperature. The large spin–orbit coupling...

Nanoporous gold (NPG) with bi-continuous ligaments and pores structure has promising potential in functional applications, among which one prominent example is fuel cell electrocatalyst. However, current application of NPG is mostly limited to methanol electro-oxidation due to its weak catalytic performance. Here we report a simple chemical dealloy...