Electronic/optoelectronic memory device enabled by tellurium‐based 2D van der Waals heterostructure for in‐sensor reservoir computing at the optical …

J Zha, S Shi, A Chaturvedi, H Huang, P Yang… - Advanced …, 2023 - Wiley Online Library
Although 2D materials are widely explored for data storage and neuromorphic computing,
the construction of 2D material‐based memory devices with optoelectronic responsivity in the …

A comprehensive review of gallium nitride (GaN)-based gas sensors and their dynamic responses

…, W Li, F Du, R Sokolovskij, Y Zhang, S Shi… - Journal of Materials …, 2023 - pubs.rsc.org
Gas-sensing technology that is ubiquitous has progressively gained significance in our daily
lives. There is a growing requirement for real-time, dependable and low-concentration gas …

Breaking the Trade‐Off Between Polymer Dielectric Constant and Loss via Aluminum Oxo Macrocycle Dopants for High‐Performance Neuromorphic Electronics

X Chen, YF Sun, X Wu, S Shi, Z Wang… - Advanced …, 2023 - Wiley Online Library
The dielectric layer is crucial in regulating the overall performance of field‐effect transistors (FETs),
the key component in central processing units, sensors, and displays. Despite …

Convolutional Echo‐State Network with Random Memristors for Spatiotemporal Signal Classification

…, H Chen, W Zhang, Y Li, D Wang, S Shi… - Advanced Intelligent …, 2022 - Wiley Online Library
The unprecedented development of Internet of Things results in the explosion of spatiotemporal
signals generated by smart edge devices, leading to a surge of interest in real‐time …

Ultralow-power optoelectronic synaptic transistors based on polyzwitterion dielectrics for in-sensor reservoir computing

X Wu, S Shi, B Liang, Y Dong, R Yang, R Ji, Z Wang… - Science …, 2024 - science.org
Bio-inspired transistor synapses use solid electrolytes to achieve low-power operation and
rich synaptic behaviors via ion diffusion and trapping. While these neuromorphic devices …

Resistive memory-based zero-shot liquid state machine for multimodal event data learning

N Lin, S Wang, Y Li, B Wang, S Shi, Y He… - arXiv preprint arXiv …, 2023 - arxiv.org
The human brain is a complex spiking neural network (SNN) that learns multimodal signals
in a zero-shot manner by generalizing existing knowledge. Remarkably, the brain achieves …

Pate: Property, amenities, traffic and emotions coming together for real estate price prediction

Y Zhao, R Ravi, S Shi, Z Wang… - 2022 IEEE 9th …, 2022 - ieeexplore.ieee.org
Real estate prices have a significant impact on individuals, families, businesses, and
governments. The general objective of real estate price prediction is to identify and exploit …

A 2D Heterostructure‐Based Multifunctional Floating Gate Memory Device for Multimodal Reservoir Computing

J Zha, Y Xia, S Shi, H Huang, S Li, C Qian… - Advanced …, 2024 - Wiley Online Library
The demand for economical and efficient data processing has led to a surge of interest in
neuromorphic computing based on emerging two‐dimensional (2D) materials in recent years. …

UAV sensor fault detection using a classifier without negative samples: A local density regulated optimization algorithm

K Guo, L Liu, S Shi, D Liu, X Peng - Sensors, 2019 - mdpi.com
Fault detection for sensors of unmanned aerial vehicles is essential for ensuring flight security,
in which the flight control system conducts real-time control for the vehicles relying on the …

Spontaneous Threshold Lowering Neuron using Second‐Order Diffusive Memristor for Self‐Adaptive Spatial Attention

Y Jiang, D Wang, N Lin, S Shi, Y Zhang… - Advanced …, 2023 - Wiley Online Library
Intrinsic plasticity of neurons, such as spontaneous threshold lowering (STL) to modulate
neuronal excitability, is key to spatial attention of biological neural systems. In‐memory …