Recent advances and future prospects for memristive materials, devices, and systems

MK Song, JH Kang, X Zhang, W Ji, A Ascoli… - ACS …, 2023 - ACS Publications
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Electrochemical‐memristor‐based artificial neurons and synapses—fundamentals, applications, and challenges

S Chen, T Zhang, S Tappertzhofen, Y Yang… - Advanced …, 2023 - Wiley Online Library
Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …

In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks

G Milano, G Pedretti, K Montano, S Ricci… - Nature materials, 2022 - nature.com
Neuromorphic computing aims at the realization of intelligent systems able to process
information similarly to our brain. Brain-inspired computing paradigms have been …

Resistive switching materials for information processing

Z Wang, H Wu, GW Burr, CS Hwang, KL Wang… - Nature Reviews …, 2020 - nature.com
The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …

A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Neuromorphic nanoelectronic materials

VK Sangwan, MC Hersam - Nature nanotechnology, 2020 - nature.com
Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …

Synaptic devices based neuromorphic computing applications in artificial intelligence

B Sun, T Guo, G Zhou, S Ranjan, Y Jiao, L Wei… - Materials Today …, 2021 - Elsevier
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Memristive crossbar arrays for storage and computing applications

H Li, S Wang, X Zhang, W Wang… - Advanced Intelligent …, 2021 - Wiley Online Library
The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

Semiconductor quantum dots for memories and neuromorphic computing systems

Z Lv, Y Wang, J Chen, J Wang, Y Zhou… - Chemical reviews, 2020 - ACS Publications
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …

Reconfigurable neuromorphic computing: Materials, devices, and integration

M Xu, X Chen, Y Guo, Y Wang, D Qiu, X Du… - Advanced …, 2023 - Wiley Online Library
Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …