Porous crystalline materials for memories and neuromorphic computing systems
G Ding, JY Zhao, K Zhou, Q Zheng, ST Han… - Chemical Society …, 2023 - pubs.rsc.org
Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …
Layer-structured anisotropic metal chalcogenides: recent advances in synthesis, modulation, and applications
The unique electronic and catalytic properties emerging from low symmetry anisotropic (1D
and 2D) metal chalcogenides (MCs) have generated tremendous interest for use in next …
and 2D) metal chalcogenides (MCs) have generated tremendous interest for use in next …
Progress of materials and devices for neuromorphic vision sensors
The latest developments in bio-inspired neuromorphic vision sensors can be summarized in
3 keywords: smaller, faster, and smarter.(1) Smaller: Devices are becoming more compact …
3 keywords: smaller, faster, and smarter.(1) Smaller: Devices are becoming more compact …
Advanced optoelectronic devices for neuromorphic analog based on low‐dimensional semiconductors
X Wang, Y Zong, D Liu, J Yang… - Advanced Functional …, 2023 - Wiley Online Library
Neuromorphic systems can parallelize the perception and computation of information,
making it possible to break through the von Neumann bottleneck. Neuromorphic …
making it possible to break through the von Neumann bottleneck. Neuromorphic …
Technology and integration roadmap for optoelectronic memristor
Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …
Low-power memristor based on two-dimensional materials
H Duan, S Cheng, L Qin, X Zhang, B Xie… - The Journal of …, 2022 - ACS Publications
The memristor is an excellent candidate for nonvolatile memory and neuromorphic
computing. Recently, two-dimensional (2D) materials have been developed for use in …
computing. Recently, two-dimensional (2D) materials have been developed for use in …
Progress and Insight of Van der Waals Heterostructures Containing Interlayer Transition for Near Infrared Photodetectors
Van der Waals (vdWs) heterostructures enable bandgap engineering of different 2D
materials to realize the interlayer transition via type‐II band alignment leading to broaden …
materials to realize the interlayer transition via type‐II band alignment leading to broaden …
Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks
Artificial neural networks have demonstrated superiority over traditional computing
architectures in tasks such as pattern classification and learning. However, they do not …
architectures in tasks such as pattern classification and learning. However, they do not …
Two-terminal lithium-mediated artificial synapses with enhanced weight modulation for feasible hardware neural networks
Recently, artificial synapses involving an electrochemical reaction of Li-ion have been
attributed to have remarkable synaptic properties. Three-terminal synaptic transistors …
attributed to have remarkable synaptic properties. Three-terminal synaptic transistors …
Quantum dots compete at the acme of MXene family for the optimal catalysis
Y Liu, W Zhang, W Zheng - Nano-Micro Letters, 2022 - Springer
It is well known that two-dimensional (2D) MXene-derived quantum dots (MQDs) inherit the
excellent physicochemical properties of the parental MXenes, as a Chinese proverb …
excellent physicochemical properties of the parental MXenes, as a Chinese proverb …