- Advanced Memory and Neural Computing
- 2D Materials and Applications
- Anaerobic Digestion and Biogas Production
- Photoreceptor and optogenetics research
- Wastewater Treatment and Nitrogen Removal
- Neuroscience and Neural Engineering
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
- Metamaterials and Metasurfaces Applications
- Advanced Antenna and Metasurface Technologies
- Neural dynamics and brain function
- Antenna Design and Analysis
- Photonic and Optical Devices
- Nanowire Synthesis and Applications
- Semiconductor Lasers and Optical Devices
- Advanced Optical Sensing Technologies
- Membrane Separation Technologies
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Fire Detection and Safety Systems
- Cancer Research and Treatments
- Plasmonic and Surface Plasmon Research
- Military Defense Systems Analysis
- Particle accelerators and beam dynamics
- Granular flow and fluidized beds
Nanjing University
2019-2025
Collaborative Innovation Center of Advanced Microstructures
2019-2025
Hong Kong Polytechnic University
2022-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
Heilongjiang Institute of Technology
2024
Harbin Institute of Technology
2024
Beijing University of Technology
2024
Beijing Drainage Group (China)
2024
Shandong University of Science and Technology
2024
China University of Mining and Technology
2009-2021
Abstract Compared to human vision, conventional machine vision composed of an image sensor and processor suffers from high latency large power consumption due physically separated sensing processing. A neuromorphic system with brain-inspired visual perception provides a promising solution the problem. Here we propose demonstrate prototype by networking retinomorphic memristive crossbar. We fabricate using WSe2/h-BN/Al2O3 van der Waals heterostructures gate-tunable photoresponses, closely...
We introduce a programmable flip-metasurface that can dynamically control the reflection while leaving transmitted wavefront undistorted in an ultra-broad spectrum, i.e., same as of incidence. This metasurface is constructed by unique meta-atoms be switched between two flip states, which correspond to spatial inversion each other. Due reciprocity principle and symmetry, transmission independent regardless frequency. While conveniently controlled tuning states. Dynamical steering reflected...
Dynamic random access memory (DRAM) has been a cornerstone of modern computing, but it faces challenges as technology scales down, particularly due to the mismatch between reduced storage capacitance and increasing OFF current. The capacitorless 2T0C DRAM architecture is recognized for its potential offer superior area efficiency refresh rate requirements by eliminating traditional capacitor. exploration two-dimensional (2D) materials further enhances scaling possibilities, though absence...
Frequency selective surfaces (FSSs), also known as spatial filters, are special two-dimensional periodic structures with unique electromagnetic wave transmission and reflection characteristics. With the launch of 6G communication technology research, terahertz band is an important topic technology, miniaturization compactness major features devices. A double-layer ultra-wideband FSS designed, which has a compact cell structure consisting two layers square ring-gap cascades can be used to...
Infrared-visible fused photodetection presents significant potential for target perception in complex scenarios. However, dual-band imaging inherently generates a considerable amount of redundant data, highlighting pressing need to perform compressive sensing directly at the pixel level. Here, we report photodetector composed MoS2/h-BN/PdSe2 vertically stacked heterostructure with common metal electrode interconnecting bottom PdSe2 channel top MoS2 channel. By exploiting property that...
Crystal structures of bismuth oxychalcogenide compounds Bi<sub>2</sub>O<sub>2</sub>X and Bi<sub>2</sub>OX<sub>2</sub> (X = S, Se, Te).
In this work, we propose and demonstrate a scheme to realize broadband coherent perfect absorption of spoof surface plasmon polaritons (SPPs) using an ultrathin conductive film vertically placed on plasmonic metasurface that supports SPPs. When the possesses appropriate sheet resistance, two incident beams SPP waves can be simultaneously absorbed over broad spectrum. By tuning phase difference between from 0 π, gradually changed near-100% near-zero, as verified in full-wave simulations...
The Braitenberg vehicle as a simple conceptual model to characterize the response behaviors of animals or insects under stimulus is widely used develop autonomous vehicles able adapt varying environments. Considerable effort has been devoted building neuromorphic processors with software in vehicles; however, there no demonstration hardware so far. Herein, memristive circuits built for first time. This exhibits adaptive supervised learning process and eventually trained conduct task tracking...
Introducing symmetrical expansion and nonlinear transformation, the (G'/G)-expansion method is extended to investigate a coupled Schrödinger system. Some exact solutions with variable separation are constructed for The involve two arbitrary functions of independent variables. By setting properly in solutions, types folded solitons periodic vibration observed.
The traditional anchoring method of bolts has insufficient control over the surrounding rock coal roadway. Based on this background, full-stress technology was proposed. Firstly, a mechanical relationship model bolt-drawing, interface established to obtain equations axial force and shear stress distribution as well decreasing-load transfer law section bolts. Through studying prestress-loading experimental device bolts, we found that increasing initial preload could increase under same...
Memristor crossbar arrays are expected to achieve highly energy-efficient neuromorphic computing via implementing parallel vector–matrix multiplication (VMM) in situ. The similarities between memristors and neural synapses offer opportunities for realizing hardware-based brain-inspired computing, such as spike networks. However, the nonlinear I–V characteristics of limit implementation VMM on passive memristor arrays. In our work, we propose utilize differential conductance a synaptic weight...
Autonomous Vehicles A smart autonomous vehicle in which the processing unit is based on a memristive neuromorphic circuit demonstrated by Cong Wang, Shi-Jun Liang, Feng Miao, and co-workers, article number 1900103. The exhibits self-adaptive behaviors capable of learning to avoid obstacles track pathway, showing huge potential for future development robots with real-time processing.