A5038029456- Advanced Memory and Neural Computing
- Conducting polymers and applications
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neural Networks and Reservoir Computing
- Traffic control and management
- Advanced Sensor and Energy Harvesting Materials
- Transition Metal Oxide Nanomaterials
- Topic Modeling
- Advancements in Battery Materials
- Stability and Control of Uncertain Systems
- ZnO doping and properties
- Advanced Battery Materials and Technologies
- Mobile Crowdsensing and Crowdsourcing
- Power Systems and Renewable Energy
- Tactile and Sensory Interactions
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Neural Networks Stability and Synchronization
- Matrix Theory and Algorithms
- Ethics and Social Impacts of AI
- Semiconductor materials and interfaces
- Railway Engineering and Dynamics
- Smart Grid and Power Systems
Fudan University
2021-2025
Shanghai Fudan Microelectronics (China)
2023-2025
Shanghai Zhangjiang Laboratory
2025
Tianjin University of Technology and Education
2014-2024
Kyoto University
2023
ShangHai JiAi Genetics & IVF Institute
2023
China Academy of Transportation Sciences
2023
University of Science and Technology of China
2022
University of California System
2020
Zhejiang Lab
2020
Three-dimensional (3D) porous conductive composites explored in highly sensitive tactile sensors have attracted extensive close attention recent years owing to their peculiar structure and unique physical properties terms of excellent mechanical flexibility, high relative dielectric permittivity, good elastic property. Herein, we report an practical, efficient, macroscopic dip-coating process manufacture rapid-response, low detection limit, high-sensitivity, capacitive flexible sensors. The...
Artificial synapses with the capability of optical sensing and synaptic functions are fundamental components to construct neuromorphic visual systems. However, most reported artificial require a combination electrical stimuli achieve bidirectional conductance modulation, leading an increase in processing time system complexity. Here, all-optically controlled synapse based on graphene/titanium dioxide (TiO
Many machine learning projects for new application areas involve teams of humans who label data a particular purpose, from hiring crowdworkers to the paper's authors labeling themselves. Such task is quite similar (or form of) structured content analysis, which longstanding methodology in social sciences and humanities, with many established best practices. In this paper, we investigate what extent sample papers computing --- specifically ArXiv traditional publications performing an ML...
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTBetween Promise and Practice: A Comparative Look at the Energy Density of Li Metal-Free Batteries Metal BatteriesDi WangDi WangGraduate School Science, Kyoto University, Yoshida-honmachi, Sakyo-ku, 606-8501, JapanMore by Di Wang, Jie QiuJie QiuGraduate Qiu, Naoki InuiNaoki InuiGraduate Engineering, Nishikyo-ku, 615-8510, Inui, Rika HagiwaraRika HagiwaraGraduate Hagiwarahttps://orcid.org/0000-0002-7234-3980, Jinkwang Hwang*Jinkwang HwangGraduate...
Abstract Stretchable electronics that prevalently adopt chemically inert metals as sensing layers and interconnect wires have enabled high-fidelity signal acquisition for on-skin applications. However, the weak interfacial interaction between elastomers limit tolerance of device to external friction interferences. Here, we report an diffusion-induced cohesion strategy utilizes hydrophilic polyurethane wet gold (Au) grains render them wrapped by strong hydrogen bonding, resulting in a high...
Artificial synapses relying on electrical and optical stimuli to implement neuromorphic tasks have been intensively developed, but very few of them can directly respond real biological neurotransmitter stimulus, thus limiting the seamless integration bio-electronic interfaces. In this letter, we report a flexible organic electrochemical transistor-based synaptic device, which demonstrates not only short-term behaviors dominated by kinetics ions also long-term derived from redox reaction...
Abstract Negative differential resistance (NDR) devices based on transition metal oxides, such as NbO 2 memristors, inherently exhibit multiple nonlinear dynamics that have garnered considerable interest in emulating neuronal functions. However, the challenge of simultaneously reducing switching voltages and currents while maintaining a stable hysteresis window limits energy efficiency computational functionality ‐based oscillatory systems. Here, thermal engineering strategy is proposed to...
SNNs with temporal coding (TC), inspired by the human visual system, have a powerful ability to enable fast and low-power neuromorphic computing. Memristive devices show excellent performance on emulating spiking neurons synapses in hardware. However, neuron circuits used for implementing fully memristive TC SNN are absent. In this work, first time, we demonstrate LIF based NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> device meet...
Neuromorphic electronic devices mimicking the structure and functionality of biological counterparts have shown promising applications in biorealistic computing bioelectronic interfaces. However, current neuromorphic systems comprising synapses neurons typically exhibit complex integrated structures lack chemically mediated characteristics, hindering them from direct biointerfacing. Here, we report a compact artificial synapse-neuron module (ASNM) by seamlessly integrating an organic...
In this letter, we report a fully printed metal-oxide memristor crossbar array based on the Ag/ZnO/Ag structure, and extend its neuromorphic computing application as artificial synapses. The wurtzite-type ZnO is an active layer, which sandwiched between two Ag electrodes, forming unit. exhibits volatile resistive switching behaviors under low compliance current of 1 μA, can emulate short-term synaptic plasticity biological "learning-relearning" processes. More importantly, image learning...
Implementation of biohybrid artificial synapses capable neurotransmitter regulation is a key to establishing active interactions with biological tissues. In this letter, we report fully printed synapse based on an organic electrochemical transistor (OECT) device low driving voltages (< 1 V), good reproducibility and stability. The OECT shows not only short-term plasticity dominated by sodium ionic dynamic, but also dopamine-mediated long-term plasticity. Furthermore, dual-gate OECT-based was...
In this letter, we report a novel biomemristor synapse based on renewable guar gum biopolymers that can dissolve in water easily and obtain uniform compact resistive switching layer via spin-coating process. Incorporating with well-dispersed tungsten telluride (WTe2) nanosheets exfoliated by natural tannic acid, the fabricated Ag/guar gum-WTe2 nanohybrid/Au exhibits forming-free volatile characteristic low operation voltage (< 0.3 V) robust uniformity. The device mimic bio-synaptic...
With the tremendous progress of Internet Things (IoT) and artificial intelligence (AI) technologies, demand for flexible stretchable electronic systems is rapidly increasing. As vital component a system, existing computing units are usually rigid brittle, which incompatible with electronics. Emerging memristive devices flexibility stretchability as well direct processing-in-memory ability promising candidates to perform data in To execute in-memory paradigm including digital analogue...
Metal oxide-based memristors usually exhibit robust resistive switching characteristics but poor mechanical tolerance, limiting their applications in wearable intelligent electronics. Here, we report a highly flexible and hafnium memristor by using the ultrathin substrate for in-memory computing. The fabricated can display reliable behaviors, including low voltage, good endurance, excellent uniformity, under an extremely bending state with radius of 0.8 mm. behavior varying thickness is...
The delay‐dependent stability problem is studied for Markovian jump neutral systems with partial information on transition probabilities, and the considered delays are mixed model dependent. By constructing new stochastic Lyapunov‐Krasovskii functional, which combined introduced free matrices analysis technique of matrix inequalities, a sufficient condition fully known rates firstly established. Then, making full use rate matrix, results obtained other case, uncertain system incomplete also...
Realizing large-scale quantum networks requires the generation of high-fidelity entanglement states between remote nodes, a key resource for communication, distributed computation and sensing applications. However, distribution network nodes is hindered by optical transmission loss local operation errors. Here, we propose novel repeater architecture that synergistically integrates Rydberg atom processors with cavities to overcome these challenges. Our scheme leverages cavity-mediated...
Lithium metal-free batteries (LMFBs, often called anode-free batteries), characterized by the absence of pre-loaded lithium metal or host materials at anode, have emerged as a focal point in battery research due to their theoretically highest energy density.[1] However, LMFBs face significant challenges: practical density and cycle performance are severely limited inventory loss during initial charging reversibility plating/stripping cycles.[2] We reassess impact quantity anode on...
Objective: To investigate the clinical characteristics and prognosis of mediastinal fibrosis. Methods: Twelve patients with fibrosis diagnosed between 2008 2015 in our hospital were studied retrospectively. Clinical manifestations, radiological characteristics, endoscopic features, treatment analyzed. Results: There 3 males 9 females, a mean age 68.8 years.Six had previous tuberculosis infection. The most common symptoms dyspnea on exertion (11 cases), cough (7 wheezing (6 cases). Chest CT...
A fractional-order delayed memristive chaotic system is presented in this paper. Abundant dynamic behaviors of the designed circuit were investigated by numerical simulation. Specially, Through analysis stability system, we found can generate attractors although it possesses no equilibrium point.
Transparent all oxide pn junction film diode consisting of p-type NiO:Na and n-type ZnO was fabricated by magnetron sputtering method on Si substrate. These films were characterised diffraction (XRD), atomic force microscopy (AFM) UV-visible spectroscopy. XRD results show that had a preferred orientation along the (111) direction while highly oriented (002) direction. The optical transmittance 60 80% respectively. I-V characteristic NiO:Na/ZnO showed rectification. parameters such as...