A5059395980- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Thin-Film Transistor Technologies
- Neuroscience and Neural Engineering
- Physics of Superconductivity and Magnetism
- ZnO doping and properties
- Electronic and Structural Properties of Oxides
- CCD and CMOS Imaging Sensors
- Transition Metal Oxide Nanomaterials
- Photorefractive and Nonlinear Optics
- 2D Materials and Applications
- Neural Networks and Reservoir Computing
- Soil erosion and sediment transport
- Magnetic properties of thin films
- Neural dynamics and brain function
- Nanopore and Nanochannel Transport Studies
- Opinion Dynamics and Social Influence
- Particle accelerators and beam dynamics
- Copper Interconnects and Reliability
- Advanced Measurement and Detection Methods
- Ultrasound Imaging and Elastography
- Nanowire Synthesis and Applications
- Complex Network Analysis Techniques
- Perovskite Materials and Applications
Hong Kong Polytechnic University
2022-2025
Nanjing University of Aeronautics and Astronautics
2025
Peking University Shenzhen Hospital
2024
Huazhong University of Science and Technology
2019-2024
Huazhong Agricultural University
2024
Guangdong Academy of Sciences
2022-2023
Institute of Semiconductors
2022-2023
Shandong Academy of Sciences
2023
Qilu University of Technology
2023
Southern University of Science and Technology
2023
The number of sensor nodes in the Internet Things is growing rapidly, leading to a large volume data generated at sensory terminals. Frequent transfer between sensors and computing units causes severe limitations on system performance terms energy efficiency, speed, security. To efficiently process substantial amount data, novel computation paradigm that can integrate functions into networks should be developed. in-sensor reduces also decreases high complexity by processing locally. Here,...
Community detection is a popular yet thorny issue in social network analysis. A symmetric and nonnegative matrix factorization (SNMF) model based on multiplicative update (NMU) scheme frequently adopted to address it. Current research mainly focuses integrating additional information into it without considering the effects of learning scheme. This study aims implement highly accurate community detectors via connections between an SNMF-based detector's accuracy NMU scheme's scaling factor....
Reward-modulated spike-timing-dependent plasticity (R-STDP) is a brain-inspired reinforcement learning (RL) rule, exhibiting potential for decision-making tasks and artificial general intelligence. However, the hardware implementation of reward-modulation process in R-STDP usually requires complicated Si complementary metal-oxide-semiconductor (CMOS) circuit design that causes high power consumption large footprint. Here, with two synaptic transistors (2T) connected parallel structure...
By exploiting novel transport phenomena such as ion selectivity at the nanoscale, it has been shown that nanochannel systems can exhibit electrically controllable conductance, suggesting their potential use in neuromorphic devices. However, several critical features of biological synapses, particularly conductance modulation, which is both memorable and gradual, have rarely reported these types due to fast flow property typical inorganic electrolytes. In this work, we demonstrate...
Abstract Ion transport and hydrodynamic flow through nanometer-sized channels (nanopores) have been increasingly studied owing to not only the fundamental interest in abundance of novel phenomena that has observed but also their promising application innovative nanodevices, including next-generation sequencers, nanopower generators, memristive synapses. We first review various kinds materials associated state-of-the-art processes developed for fabricating nanoscale pores, emerging structures...
Abstract The hardware design of supervised learning (SL) in spiking neural network (SNN) prefers 3-terminal memristive synapses, where the third terminal is used to impose supervise signals. In this work we address demand by fabricating graphene transistor gated through organic ferroelectrics polyvinylidene fluoride. Through gate tuning not only nonvolatile and continuous change channel conductance demonstrated, but also transition between electron-dominated hole-dominated transport. By...
Abstract The fully memristive neural network consisting of the threshold switching (TS) material‐based electronic neurons and resistive (RS) one‐based synapses shows potential for revolutionizing energy area efficiency in neuromorphic computing while being confronted with challenges such as reliability process compatibility between synaptic neuronal devices. Here, a spiking convolutional (SCNN) is constructed forming‐and‐annealing‐free V/VO x /HfWO /Pt Specifically, both highly reliable RS...
The concept of “high entropy” was first proposed while exploring the unknown center metal alloy phase diagram, and then expanded to oxides. colossal dielectric constant found on bulk high-entropy oxides (HEOs) reveals potential application in aspects. Despite fact that known HEO thin films have not been reported field properties so far, with effects theoretical guidance high entropy, it is predictable they will be discovered. Currently, researchers are verifying appropriately increasing...
Valley pseudospin is an electronic degree of freedom that promises highly efficient information processing applications. However, valley-polarized excitons usually have short pico-second lifetimes, which limits the room-temperature applicability valleytronic devices. Here, we demonstrate valley transistors operate by generating free carrier polarization with a long lifetime. This achieved electrostatic manipulation non-trivial band topology Weyl semiconductor tellurium (Te). We observe...
Abstract Resistive random access memory (RRAM) crossbar arrays require the highly nonlinear selector with high current density to address a specific cell and suppress leakage through unselected cell. 3D monolithic integration of RRAM array requires devices small footprint low‐temperature processing for ultrahigh‐density data storage. Here, an ultrathin two‐terminal n‐p‐n 2D transition metal dichalcogenides (TMDs) is designed by transfer method. The van der Waals contact between transferred...
Multimodal perception can capture more precise and comprehensive information compared with unimodal approaches. However, current sensory systems typically merge multimodal signals at computing terminals following parallel processing transmission, which results in the potential loss of spatial association requires time stamps to maintain temporal coherence for time-series data. Here we demonstrate bioinspired in-sensor fusion, effectively enhances reduces level data transfer between terminal...
Tissue deformation in ultrasound (US) imaging leads to geometrical errors when measuring tissues due the pressure exerted by probes. Such has an even larger effect on 3D US volumes as correct compounding is limited inconsistent location and geometry. This work proposes a patient-specified stiffness-based method tissue deformations robotic acquisitions. To obtain model, palpation performed at sampling positions tissue. The contact force, images probe poses of procedure are recorded. force...
<title>Abstract</title> Brain-inspired reinforcement learning (RL) represents a pivotal pathway toward artificial general intelligence, yet existing hardware implementations based on neural networks lack critical biological mechanisms like third-terminal modulated eligibility traces and dynamic reward signaling. Emerging materials can address these challenges by mimicking RL’s complex dynamics with revolutionary efficiency. Here we demonstrate brain-inspired SNN-based RL computing...
The preservation of soil organic carbon (OC) is an effective way to decelerate the emission CO2 emission. However, coregulation pore structure and mineral composition in OC stabilization remains elusive. We employed situ nondestructive oxidation by low-temperature ashing (LTA) combined with near edge X-ray absorption fine (NEXAFS), high-resolution microtomography (μ-CT), field electron probe microanalysis (FE-EPMA) C-free embedding, novel Cosine similarity measurement investigate C retention...
Abstract Memtransistors in which the source−drain channel conductance can be nonvolatilely manipulated through gate signals have emerged as promising components for implementing neuromorphic computing. On other side, it is known that complementary metal-oxide-semiconductor (CMOS) field effect transistors played fundamental role modern integrated circuit technology. Therefore, will memtransistors (CMT) also play such a future circuits and chips? In this review, various types of materials...
Scalable production and controlled doping of large-area two-dimensional transition-metal dichalcogenide films are fundamental steps toward their applications in electronic devices. Although a variety methods for preparation wafer-scale have been developed, it is still challenging to realize homogeneous the modulate properties. In this paper, we report new chemical vapor deposition (CVD) method pristine doped monolayer MoS2 on 2-inch sapphire wafers. The molybdenum precursors supplied...