A5100356073- Advanced Memory and Neural Computing
- Analog and Mixed-Signal Circuit Design
- Radio Frequency Integrated Circuit Design
- CCD and CMOS Imaging Sensors
- Microwave Engineering and Waveguides
- Advancements in PLL and VCO Technologies
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Wireless Body Area Networks
- Gyrotron and Vacuum Electronics Research
- Antenna Design and Analysis
- Advancements in Semiconductor Devices and Circuit Design
- Advanced Sensor and Energy Harvesting Materials
- Photonic and Optical Devices
- Silicon Nanostructures and Photoluminescence
- Acoustic Wave Resonator Technologies
- Advanced Fiber Laser Technologies
- Energy Harvesting in Wireless Networks
- Neural Networks and Reservoir Computing
- Transition Metal Oxide Nanomaterials
- Electromagnetic Compatibility and Noise Suppression
- Advanced Fiber Optic Sensors
- Advanced MEMS and NEMS Technologies
National Engineering Research Center of Electromagnetic Radiation Control Materials
2016-2025
University of Electronic Science and Technology of China
2016-2025
National University of Defense Technology
2016-2025
Quzhou University
2025
Jishou University
2025
National Institute of Metrology
2025
National Astronomical Observatories
2025
Changchun Observatory
2025
University of Chinese Academy of Sciences
2025
Chinese Academy of Sciences
2012-2025
Although synaptic behaviours of memristors have been widely demonstrated, implementation an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on basis memristive Hopfield network. Different patterns can be stored into by tuning resistance memristors, and pre-stored successfully retrieved directly or through some intermediate states, being analogous to behaviour. Both single-associative multi-associative memories realized...
In this work, a synaptic transistor based on the indium gallium zinc oxide (IGZO)–aluminum (Al2O3) thin film structure, which uses ultraviolet (UV) light pulses as pre-synaptic stimulus, has been demonstrated. The exhibits behavior of plasticity like paired-pulse facilitation. addition, it also shows brain's memory behaviors including transition from short-term to long-term and Ebbinghaus forgetting curve. synapse-like are due trapping detrapping processes holes, generated by UV pulses, at...
This paper presents our investigation into a 220 GHz multicarrier high-speed communication system based on solid state transceivers. The proposed has eased the demand of high sampling rate analog-to-digital converter (ADC) by providing several signal carriers in microwave band and converting them to channel. consists set solid-state transceiver with 2 carriers, two base-bands for 4 GSPS ADCs. It achieved 12.8 Gbps real-time transmission using 16QAM modulation over distance 20 m without any...
Abstract With the rapid development of self‐powered electronics such as wearables, implantable devices, and sensor networks, there is an increasing demand for power sources that have a high density long lifespan to keep entire system operational. Flexible piezoelectric materials with capability mechanical‐to‐electrical energy conversion attracted significant interest because their immense potential harvesting human biomechanical energy. Herein, 3 mol.% yttrium stabilized zirconia ribbon...
Synaptic Long-Term Potentiation (LTP), which is a long-lasting enhancement in signal transmission between neurons, widely considered as the major cellular mechanism during learning and memorization. In this work, NiOx-based memristor found to be able emulate synaptic LTP. Electrical conductance of increased by electrical pulse stimulation then spontaneously decays towards its initial state, resembles The lasting time LTP can estimated with relaxation equation, well describes decay behavior....
Synaptic memristor has attracted much attention for its potential applications in artificial neural networks (ANNs). However useful real life with such memristor-based have seldom been reported. In this paper, an ANN based on memristors is designed to learn a multi-variable regression model back-propagation algorithm. A weight unit circuit memristor, which can be programed as excitatory synapse or inhibitory synapse, introduced. The of the electronic determined by conductance and current...
Although there is a huge progress in complementary-metal-oxide-semiconductor (CMOS) technology, construction of an artificial neural network using CMOS technology to realize the functionality comparable with that human cerebral cortex containing 10
In this article, we present a spiking neural network (SNN) based on both SRAM processing-in-memory (PIM) macro and on-chip unsupervised learning with Spike-Time-Dependent Plasticity (STDP). Co-design of algorithm hardware for hardware-friendly SNN efficient STDP-based methodology is used to improve area energy efficiency. The proposed utilizes charge sharing capacitors perform fully parallel Reconfigurable Multi-bit PIM Multiply-Accumulate (RMPMA) operations. A thermometer-coded Programmable...
The monolithic integration of germanium-on-insulator (GeOI) p-MOSFETs with silicon n-MOSFETs on a substrate is demonstrated. GeOI are fabricated the oxide for device isolation based newly developed rapid-melt-growth method. CMOS inverters consisting n-MOSFET and p-MOSFET were obtained, measured results show that processing high-performance devices compatible bulk-silicon technology
A digital calibration scheme is proposed to minimize the timing mismatch in time-interleaved analog-to-digital converters (TIADCs). First, subtract outputs from adjacent channel ADCs and utilize expectations of absolute value subtracted results represent actual sampling time interval. The recognized by comparing these expectations. obtained information fed back adjust variable delay buffers, thus reducing mismatch. application this a 12-bit 1.6 GS/s four-channel TIADC demonstrated....
Band gaps and exciton binding energies of undoped Aldoped ZnO thin films were determined from optical absorption measurement based on the Elliott's theory.As compared to films, doped exhibit a band gap expansion reduction in due free electron screening effect, which suppresses excitonic results blue shift edge.The show same quantum size dependence, i.e. both increase with decreasing grain oxides.
Ultraviolet photodetector with p-n heterojunction is fabricated by magnetron sputtering deposition of n-type indium gallium zinc oxide (n-IGZO) and p-type nickel (p-NiO) thin films on ITO glass. The performance the largely affected conductivity p-NiO film, which can be controlled varying oxygen partial pressure during film. A highly spectrum-selective ultraviolet has been achieved layer a high conductivity. results explained in terms "optically-filtering" function NiO layer.
A fundamental challenge for surface acoustic wave (SAW) temperature sensors is the detection of small changes on non-planar, often curved, surfaces. In this work, we present a new design methodology SAW devices based flexible substrate and bimorph material/structures, which can maximize coefficient frequency (TCF). We performed finite element analysis simulations obtained theoretical TCF values made ZnO thin films (~5 μm thick) coated aluminum (Al) foil Al plate substrates with thicknesses...
The rapid advancement of knowledge graph (KG) technology has led to the emergence temporal graphs (TKGs), which represent dynamic relationships over time. Temporal embedding (TKGE) techniques are commonly employed for link prediction and completion, among other tasks. However, existing TKGE models mainly rely on basic arithmetic operations, such as addition, subtraction, multiplication, limits their capacity capture complex, non-linear between entities. Moreover, many neural network-based...
Detecting β-lactoglobulin (β-Lg) with high sensitivity and selectivity is an urgent requirement due to nearly 80% of milk anaphylaxis, such as respiratory tract, skin urticaria, gastrointestinal disorders, being caused by β-Lg. An ultrasensitive β-Lg electrochemical aptasensor utilizing core-satellite gold nanoparticle@silver nanocluster (AuNPs@AgNCs) nanohybrids electrocatalysts was developed. First, aptamer anchored on electrodes AuNPs obtain selectivity. Aptamer-cDNA-AuNPs conjugation...
This paper proposes an innovative approach to designing image encryption hardware by leveraging the Negative-resistance Memristor-based Hopfield Neural Network (NMHNN) model. In this method, conventional (HNN) is modified substituting one of its synaptic weights with a negative-resistance memristor modification demonstrates enhanced complex dynamics while maintaining simplified structure. The NMHNN generates chaotic sequence, which serves as key for and decryption through confusion–diffusion...
The high-precision motion state analysis of space targets has important scientific value and application potential in the fields geodynamics, geodesy, collision warning avoidance, capture, recovery, removal debris. With increasing repetition rate satellite laser ranging systems, inversion target based on high-repetition-rate data become a hot spot current research. How to filter out noise retain valid information from high-repetition-rate, challenge. traditional polynomial fitting method...
In this paper, we report a high endurance and low coercive voltage (Vc) ferroelectric tunnel junction (FTJ) device by replacing the TiN top electrode with W after annealing. This method implants TiNOx thin layer, which reduces leakage current increases breakdown (Vbd), leading to better endurance. It can also effectively promote formation of orthogonal phase inhibit tetragonal during wake-up process, contributes reducing Vc. Therefore, proposed 5 nm H0.5Z0.5O2 (HZO) FTJ exhibits excellent...
In an effort to accomplish the real-time acquisition of laser ranging results space debris during daylight and enhance observation success rate, this paper establishes a joint distribution model noise echo signals grounded on intensity law background noise. Through in-depth analysis measurement characteristics single-photon detectors, recognition algorithm based disparity in statistical is put forward. This partitions data into intervals equal length. It then employs goodness-of-fit test...