A5052978189- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Ferroelectric and Negative Capacitance Devices
- Advanced Sensor and Energy Harvesting Materials
- Neuroscience and Neural Engineering
- Conducting polymers and applications
- Thin-Film Transistor Technologies
- MXene and MAX Phase Materials
- Transition Metal Oxide Nanomaterials
- Advancements in Semiconductor Devices and Circuit Design
- Photoreceptor and optogenetics research
- Molecular Junctions and Nanostructures
- ZnO doping and properties
- Ferroelectric and Piezoelectric Materials
- CCD and CMOS Imaging Sensors
- Neural Networks and Reservoir Computing
- Supercapacitor Materials and Fabrication
- Perovskite Materials and Applications
- Electronic and Structural Properties of Oxides
- Tactile and Sensory Interactions
- Nanowire Synthesis and Applications
- Integrated Circuits and Semiconductor Failure Analysis
- Environmental Impact and Sustainability
- Graphene research and applications
- Quantum and electron transport phenomena
Xi’an Jiaotong-Liverpool University
2012-2025
University of Liverpool
2013-2024
Nanjing University of Posts and Telecommunications
2024
University of Science and Technology Liaoning
2023
University of Otago
2021
China Building Materials Academy
2010-2019
Xi'an Jiaotong University
2012-2018
State Key Laboratory of Electrical Insulation and Power Equipment
2018
Southern Illinois University Carbondale
2018
Hebei University
2018
Flexible tactile sensors show promise for artificial intelligence applications due to their biological adaptability and rapid signal perception. Triboelectric enable active dynamic sensing, while integrating static pressure sensing real-time multichannel transmission is key further development. Here, we propose an integrated structure combining a capacitive sensor spatiotemporal mapping triboelectric recognition. A liquid metal-based flexible dual-mode triboelectric-capacitive-coupled (TCTS)...
Abstract The treatment, diagnosis, and monitoring of diseases have attracted more attention in recent years. Healthcare electronics help effectively treat real‐time monitor diseases. Triboelectric nanogenerators (TENGs) show great potential for healthcare applications because their superiority including low cost, flexible structures, self‐powered property. Herein, the key advancements TENG‐based are comprehensively reviewed. TENGs could not only harvest mechanical energy from body to make...
Abstract The highly parallel artificial neural systems based on transistor‐like devices have recently attracted widespread attention due to their high‐efficiency computing potential and the ability mimic biological neurobehavior. For past decades, plenty of breakthroughs related synaptic transistors been investigated reported. In this work, a kind photoelectronic transistor that successfully mimics behaviors synapses has proposed systematically analyzed. individual device, MXenes...
A raindrop solar cell can work either on rainy days to collect mechanical energy of the raindrops or sunny harvest energy, which achieves high conversion efficiency in various environments. However, low harvesting is a dominating barrier cells practical applications. In this work, MoO3/top electrode-based triboelectric nanogenerator (MT-TENG) with rain droplet efficiency, integrated perovskite through shared electrodes, has been proposed. The interface electrons between layer and electrode...
Abstract At present, the dominating electron transport material (ETL) and hole (HTL) used in state‐of‐the‐art perovskite solar cells (PSCs) are tin oxide 2,2′,7,7′‐tetrakis(N,N‐di‐p‐methoxyphenyl‐amine)‐9,9′‐spirobifluorene (Spiro‐OMeTAD). However, surface hydroxyl groups of SnO 2 layer Li + ions within Spiro‐OMeTAD HTL generally cause charge recombination migration, significantly reducing devices' performance stability. Here, a molecule bridging 3,5‐bis(fluorosulfonyl)benzoic acid (FBA) is...
Abstract High‐performance stretchable optoelectronic synaptic transistor arrays are key units for constructing and mimicking simulated neuromorphic vision systems. In this study, ultra‐low power consumption low‐operation‐voltage all‐carbon thin film transistors (TFTs) using sorted semiconducting single‐walled carbon nanotubes (sc‐SWCNTs) modified with CdSe/ZnS quantum dots as active layers on ionic liquid‐based composite elastomer substrates first reported. The resulting TFT devices show...
Memristor with digital and analog bipolar bimodal resistive switching offers a promising opportunity for the information-processing component. However, it still remains huge challenge that memristor enables types fabrication of artificial sensory neural network system. Here, proposed CsPbBr3 -based demonstrates high ON/OFF ratio (>103 ), long retention (>104 s), stable endurance (100 cycles), multilevel resistance memory, which acts as an synapse to realize fundamental biological synaptic...
Realizing real-time monitoring of physiological signals is vital for preventing and treating chronic diseases in elderly individuals. However, wearable sensors with low power consumption high sensitivity to both weak large mechanical stimuli remain challenges. Here, a flexible triboelectric patch (FTEP) based on porous-reinforcement microstructures remote health has been reported. The microstructure constructed by the self-assembly silicone rubber adhering porous framework PU sponge....
Spiking neural networks (SNNs) have immense potential due to their utilization of synaptic plasticity and ability take advantage temporal correlation low power consumption. The leaky integration firing (LIF) model spike-timing-dependent (STDP) are the fundamental components SNNs. Here, a device is first demonstrated by zeolitic imidazolate frameworks (ZIFs) as an essential part transistor simulate Significantly, three kinds typical functions between neurons, memory function achieved through...
Abstract For the next generation of human‐machine interaction (HMI) systems, development a tactile unit with multimodal, high sensitivity, and real‐time perception recognition is key. Herein, an artificial near‐sensor computing (ATNSC) based on triboelectric sensor organic synaptic transistor reported. By introducing multi‐peak microstructures, mechanical performance optimized, showing sensitivity 0.98 V kPa −1 in pressure range 0–10 maintaining 0.11 at pressures up to 350 kPa. Additionally,...
Abstract The great challenges for existing wearable pressure sensors are the degradation of sensing performance and weak interfacial adhesion owing to low mechanical transfer efficiency differences at skin–sensor interface. Here, an ultrasensitive sensor is reported by introducing a stress‐concentrated tip‐array design self‐adhesive interface improving detection limit. A bipyramidal microstructure with various Young's moduli designed improve from 72.6% 98.4%. By increasing difference in...
Abstract Developing devices with a wide-temperature range persistent photoconductivity (PPC) and ultra-low power consumption remains significant challenge for optical synaptic used in neuromorphic computing. By harnessing the PPC properties materials, it can achieve storage computing, surpassing von Neuman architecture-based systems. However, previous research implemented required additional gate voltages low temperatures, which need energy cannot be achieved across wide temperature range....
Frequency dispersion of high-k dielectrics was observed and classified into two parts: extrinsic cause intrinsic cause. dependence dielectric constant (dielectric relaxation), that is the frequency dispersion, could not be characterized before considering effects dispersion. Several mathematical models were discussed to describe relaxation dielectrics. For physical mechanism, found related degree polarization, which depended on structure material. It attributed enhancement correlations among...
An appropriate electron transport layer (ETL) with better energy alignment and enhanced charge transfer, thereby helping efficient extraction of photogenerated carriers, is essential to achieve the creation high-performance devices. In this work, we use functionalized MXene modified fluoroalkylsilane dodecyltrimethoxysilane molecules, denoted as SnO2-MF SnO2-MH, nanosheet dopants in SnO2 ETL. From density functional theory (DFT) calculations ultraviolet photoelectron spectra (UPS) spectra,...
Abstract Perovskite solar cells (PSCs) longevity is nowadays the bottleneck for their full commercial exploitation. Although lot of research ongoing, initial decay output power – an effect known as “burn‐in” degradation happening in first 100 h still unavoidable, significantly reducing overall performance (typically >20%). In this paper, origin n‐i‐p type PSCs demonstrated that directly related to Li + ions migration coming from SnO 2 electron transporting layer visualized by...