Results 251 to 260 of about 36,882 (315)

Ferroelectric Tunnel Memristor

Nano Letters, 2012
Strong interest in resistive switching phenomena is driven by a possibility to develop electronic devices with novel functional properties not available in conventional systems. Bistable resistive devices are characterized by two resistance states that can be switched by an external voltage.
D J, Kim, H, Lu, S, Ryu, C-W, Bark, C-B, Eom, E Y, Tsymbal, A, Gruverman   +6 more
openaire   +2 more sources

A Self-Rectifying Synaptic Memristor Array with Ultrahigh Weight Potentiation Linearity for a Self-Organizing-Map Neural Network.

Nano letters (Print), 2023
Two-terminal self-rectifying (SR)-synaptic memristors are preeminent candidates for high-density and efficient neuromorphic computing, especially for future three-dimensional integrated systems, which can self-suppress the sneak path current in crossbar ...
He Zhang, Biyi Jiang, Chuantong Cheng, Beiju Huang, Huan Zhang, Run Chen, Jiayi Xu, Yulong Huang, Hongda Chen, Weihua Pei, Yang Chai, F. Zhou   +11 more
semanticscholar   +1 more source

Surface Modification of a Titanium Carbide MXene Memristor to Enhance Memory Window and Low‐Power Operation

Advanced Functional Materials, 2023
With the demand for low‐power‐operating artificial intelligence systems, bio‐inspired memristor devices exhibit potential in terms of high‐density memory functions and the emulation of the synaptic dynamics of the human brain.
N. Mullani, Dhananjay D. Kumbhar, Do‐Hyeon Lee, Mi Ji Kwon, Su-Yoen Cho, Nuri Oh, Eui-Tae Kim, T. Dongale, S. Nam, Jun Hong Park   +9 more
semanticscholar   +1 more source

Revisiting Memristor Properties

International Journal of Bifurcation and Chaos, 2020
Memristor is a natural synapse because of its nanoscale and memory property, which influences the performance of memristive artificial neural networks. A three-variable memristor model is simplified with 15 kinds of properties, including the learning experience, the forgetting curve, the spiking time-dependent plasticity (STDP), the spiking rate ...
Ling Chen, Zhilong He, Chuandong Li, Shiping Wen, Yiran Chen   +4 more
openaire   +2 more sources

Polymeric Memristor Based Artificial Synapses with Ultra‐Wide Operating Temperature

Advances in Materials, 2023
Neuromorphic electronics, being inspired by how the brain works, hold great promise to the successful implementation of smart artificial systems. Among several neuromorphic hardware issues, a robust device functionality under extreme temperature is of ...
Jiayu Li, Yan Qian, Wen Li, Songcheng Yu, Yunxin Ke, Haowen Qian, Yen‐Hung Lin, Cheng-Hung Hou, J. Shyue, Jia Zhou, Ye Chen, Jiangping Xu, Jintao Zhu, M. Yi, Wei Huang   +14 more
semanticscholar   +1 more source

MEMRISTOR HAMILTONIAN CIRCUITS

International Journal of Bifurcation and Chaos, 2011
We prove analytically that 2-element memristive circuits consisting of a passive linear inductor in parallel with a passive memristor, or an active memristive device, can be described explicitly by a Hamiltonian equation, whose solutions can be periodic or damped, and can be represented analytically by the constants of the motion along the circuit ...
Itoh, Makoto, Chua, Leon O.
openaire   +2 more sources

Programming memristor arrays with arbitrarily high precision for analog computing

Science
In-memory computing represents an effective method for modeling complex physical systems that are typically challenging for conventional computing architectures but has been hindered by issues such as reading noise and writing variability that restrict ...
Wenhao Song, Mingyi Rao, Yunning Li, Can Li, Ye Zhuo, Fuxi Cai, Mingche Wu, Wenbo Yin, Zongze Li, Qiang Wei, Sangsoo Lee, Hengfang Zhu, Lei Gong, Mark D. Barnell, Qing Wu, P. Beerel, Mike Shuo-Wei Chen, Ning Ge, Miao Hu, Qiangfei Xia, J. J. Yang   +20 more
semanticscholar   +1 more source

Wireless Multiferroic Memristor with Coupled Giant Impedance and Artificial Synapse Application

Advanced Electronic Materials, 2022
Internet of things (IoT) becomes part of everyday life across the globe, whose nodes are able to sense, store, and transmit information wirelessly. However, the IoT nodes based on von Neumann architectures realize the memory, computing and communication ...
Yao Wang, Rui Xiao, Ning Xiao, Zhongfeng Wang, Lei Chen, Y. Wen, Ping Li   +6 more
semanticscholar   +1 more source

Constructing Multiscroll Memristive Neural Network With Local Activity Memristor and Application in Image Encryption

IEEE Transactions on Cybernetics
Memristor possesses synapse-like properties that can mimic excitation and inhibition between neurons. This article introduces the Sigmoid functions to the memristor and constructs a new memristive Hopfield neural network (HNN).
Qiang Lai, Liang Yang, Genwen Hu, Zhi-Hong Guan, H. H. Iu   +4 more
semanticscholar   +1 more source

Technology and Integration Roadmap for Optoelectronic Memristor

Advances in Materials, 2023
Optoelectronic memristors (OMs) have emerged as a promising optoelectronic Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic devices and optoelectronic systems.
Jinyong Wang, N. Ilyas, Yujing Ren, Yun Ji, Sifan Li, Changcun Li, Fucai Liu, Deen Gu, K. Ang   +8 more
semanticscholar   +1 more source