Transiently chaotic simulated annealing based on intrinsic nonlinearity of memristors for efficient solution of optimization problems

A comprehensive review on emerging artificial neuromorphic devices

(2020) Jiadi Zhu et al.   Applied Physics Reviews

Resistive switching materials for information processing

(2020) Zhongrui Wang et al.   Nature Reviews Materials

Solving matrix equations in one step with cross-point resistive arrays

(2019) Zhong Sun et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Memristive Devices and Networks for Brain‐Inspired Computing

(2019) Teng Zhang et al.   Physica Status Solidi-Rapid Research Letters

Associative Memory for Image Recovery with a High‐Performance Memristor Array

(2019) Ying Zhou et al.   ADVANCED FUNCTIONAL MATERIALS

Versatile stochastic dot product circuits based on nonvolatile memories for high performance neurocomputing and neurooptimization

(2019) M. R. Mahmoodi et al.   Nature Communications

Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine

(2018) Miao Hu et al.   ADVANCED MATERIALS

Improved Synapse Device With MLC and Conductance Linearity Using Quantized Conduction for Neuromorphic Systems

(2018) Seokjae Lim et al.   IEEE ELECTRON DEVICE LETTERS

Equivalent-accuracy accelerated neural-network training using analogue memory

(2018) Stefano Ambrogio et al.   NATURE

Optimization of non-linear conductance modulation based on metal oxide memristors

(2018) Huan Liu et al.   Nanotechnology Reviews

Improving Analog Switching in HfOx-Based Resistive Memory With a Thermal Enhanced Layer

(2017) Wei Wu et al.   IEEE ELECTRON DEVICE LETTERS

Probing nanoscale oxygen ion motion in memristive systems

(2017) Yuchao Yang et al.   Nature Communications

Improved Synaptic Behavior Under Identical Pulses Using AlOx/HfO2Bilayer RRAM Array for Neuromorphic Systems

(2016) Jiyong Woo et al.   IEEE ELECTRON DEVICE LETTERS

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

(2015) M. Prezioso et al.   NATURE

Associative memory realized by a reconfigurable memristive Hopfield neural network

(2015) S.G. Hu et al.   Nature Communications

Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

(2015) Xinjie Guo et al.   Frontiers in Neuroscience