A5003798828- Advanced Memory and Neural Computing
- Adaptive Control of Nonlinear Systems
- Neural dynamics and brain function
- Transition Metal Oxide Nanomaterials
- Chaos control and synchronization
- Ferroelectric and Negative Capacitance Devices
- Ferroelectric and Piezoelectric Materials
- Acoustic Wave Resonator Technologies
- Neural Networks and Applications
- Perovskite Materials and Applications
- Heart Rate Variability and Autonomic Control
- Cardiac Imaging and Diagnostics
- Neural Networks Stability and Synchronization
- Medical Imaging and Analysis
- Photoreceptor and optogenetics research
- Luminescence Properties of Advanced Materials
- Vagus Nerve Stimulation Research
- Neuroscience of respiration and sleep
- Fuzzy Logic and Control Systems
- Web and Library Services
- Advanced X-ray and CT Imaging
- stochastic dynamics and bifurcation
- Microwave Dielectric Ceramics Synthesis
- Optical properties and cooling technologies in crystalline materials
- Radiation Dose and Imaging
Guizhou University
2020-2025
Shandong Academy of Sciences
2021-2025
Qilu University of Technology
2021-2025
Shandong University
2019-2024
State Key Laboratory of Crystal Materials
2024
Yanshan University
2021-2022
Lishui City People's Hospital
2019
Mongolian National University
2014-2016
University of Bath
2012-2016
Chinese Academy of Fishery Sciences
2014
Abstract Artificial synapses can boost neuromorphic computing to overcome the inherent limitations of von Neumann architecture. As a promising memristor candidate, ferroelectric tunnel junctions (FTJ) enable authors successfully emulate spike‐timing‐dependent synapses. However, nonlinear and asymmetric synaptic weight update under repeated presynaptic stimulation hampers by favoring runaway weights during learning. Here, demonstrate an FTJ whose conductivity varies linearly symmetrically...
Neuromorphic computing provides alternative hardware architectures with high computational efficiencies and low energy consumption by simulating the working principles of brain artificial neurons synapses as building blocks. This process helps overcome insurmountable speed barrier power from conventional von Neumann computer architectures. Among emerging neuromorphic electronic devices, ferroelectric-based have attracted extensive interest for their good controllability, deterministic...
Abstract The advent of big data and the Internet Things has created urgent demands for in‐sensor computing hardware with multimodal perception that can effectively resolve inefficiency, high latency, excessive energy consumption challenges faced by conventional sensory systems. Here, a simple‐structured optoelectronic synaptic device In 2 O 3 ·SnO /Nb:SrTiO (ITO/NSTO) heterostructure is proposed, which vividly demonstrates capabilities. First, ingenious responses under both optical...
Abstract Artificial synapses are electronic devices that simulate important functions of biological synapses, and therefore the basic components artificial neural morphological networks for brain-like computing. One most objectives developing is to characteristics as much possible, especially their self-adaptive ability external stimuli. Here, we have successfully developed an synapse with multiple synaptic highly adaptive based on a simple SrTiO 3 /Nb: heterojunction type memristor. Diverse...
Abstract To suppress the non‐linear motion for a class of strict‐feedback fractional order systems, and to improve their transient steady‐state performance, neuro‐adaptive prescribed performance backstepping control strategy suitable systems is proposed in this paper. Firstly, interval Type‐2 fuzzy neural network constructed approximate unknown functions. Secondly, tracking differentiator introduced address problem ‘explosion complexity’ associated with technique framework backstepping....
Abstract The brain's unique processing power, such as perception, understanding, and interaction with the multimodal world, is achieved through diverse synaptic functionalities, which include varied temporal responses adaptation. Although specific functions in brain‐like computing have been successfully realized, emulating recognition spatio‐temporal learning remain significant challenges due to difficulties achieving signal adaptive long‐term plasticity a single electronic synapse. Here,...
Photovoltaic (PV) neuromorphic devices with photocurrents under illumination as readouts have gained increasing attention due to their ultralow latency and excellent energy efficiency during reading process. However, they face significant challenges in processing temporal data because of the lack inherent dynamics, limiting application reservoir computing (RC) systems. Here, we developed a simple two-terminal PV device based on an indium tin oxide/Nb-SrTiO3 oxide Schottky heterojunction,...
Abstract Flexible synaptic devices that emulate biological synapses are the key to developing wearable intelligent equipment. However, there still challenges achieving multiple functions in flexible and realizing large‐scale production of devices. Herein, a transistor on polyimide substrate is designed fabricated using solid‐state electrolyte gate VO 2 Mott insulator thin film channel. Four orders conductance modulation obtained channel across metal‐insulator transition. Several essential...
High-temperature piezoelectric materials with excellent piezoelectricity, low dielectric loss and large resistivity are highly desired for many industrial sectors such as aerospace, aircraft nuclear power. Here a synergistic design strategy combining microstructural texture chemical doping is employed to optimize CaBi4Ti4O15 (CBT) ceramics bismuth layer structure. High textured microstructure an orientation factor of 80%–82 % has been successfully achieved by the spark plasma sintering...
Both high piezoelectric response and mechanical quality factors (Qm) are essential for high-power applications of ferroelectric materials. However, there always exists a trade-off between these two parameters, which makes the collaborative optimization to be great challenge. Here, hardening effect is achieved via defect engineering in acceptor-doped PbTiO3-relaxor-ferroelectric crystals by alternating current poling technique. It found that under AC electric field, diploes decoupled into...
We report on the multistability of chaotic networks silicon neurons and demonstrate how spatiotemporal sequences voltage oscillations are selected with timed current stimuli. A three neuron central pattern generator was built by interconnecting Hodgkin-Huxley mutually inhibitory links mimicking gap junctions. By systematically varying timing stimuli applied to individual neurons, we generate phase lag maps neuronal oscillators study their dependence network connectivity. identify up six...
Non-volatile memristors are promising for future hardware-based neurocomputation application because they capable of emulating biological synaptic functions. Various material strategies have been studied to pursue better device performance, such as lower energy cost, plausibility, etc. In this work, we show a novel design non-volatile memristor based on CoO/Nb:SrTiO 3 heterojunction. We found the intrinsically exhibited resistivity switching behaviours, which can be ascribed migration oxygen...
Ferroelectric tunnel junctions (FTJs) have been regarded as one of the most promising candidates for next-generation devices data storage and neuromorphic computing owing to their advantages such fast operation speed, low energy consumption, convenient 3D stack ability, etc. Here, dramatically different from conventional engineering approaches, we developed a barrier decoration strategy improve ON/OFF ratio, where ultrathin SrTiO3 (STO) dielectric layers are periodically mounted onto BaTiO3...
Perovskite K(Ta,Nb)O3 (KTN) single crystal has drawn great interests for its outstanding electro-optic performance and excellent piezoelectric response. However, growth of compositionally uniform KTN crystals always been a challenge the segregation difference between Nb Ta. In this work, we propose thermal field optimization strategy to resolve challenge. Homogenous Sn doped (Sn:KTN) with significantly reduced composition gradient (0.003 mol/mm, 1/4–1/8 other system), minimal TC variation...
Two-dimensional (2D) layered materials have attracted intensive attention in recent years due to their rich physical properties, and shown great promise low power consumption high integration density integrated electronics. However, mostly limited mechanical exfoliation, large scale preparation of the 2D for application is still challenging. Herein, quasi-2D α-molybdenum oxide (α-MoO
In an emerging bioelectronics era, there is a clinical need for physiological devices incorporating biofeedback that permits natural and demand-dependent control in real time. Here, we describe novel device termed central pattern generator (CPG) uses cutting edge analogue circuitry producing temporally controlled, electrical stimulus outputs based on the time integration of feedback. Motivated by fact respiratory sinus arrhythmia (RSA), which cyclical changes heart rate every breath,...