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 …

Resistive random access memory (RRAM): an overview of materials, switching mechanism, performance, multilevel cell (MLC) storage, modeling, and applications

F Zahoor, TZ Azni Zulkifli, FA Khanday - Nanoscale research letters, 2020 - Springer
In this manuscript, recent progress in the area of resistive random access memory (RRAM)
technology which is considered one of the most standout emerging memory technologies …

Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications

F Zhang, C Li, Z Li, L Dong, J Zhao - Microsystems & Nanoengineering, 2023 - nature.com
Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

Hexagonal boron nitride for next‐generation photonics and electronics

S Moon, J Kim, J Park, S Im, J Kim, I Hwang… - Advanced …, 2023 - Wiley Online Library
Hexagonal boron nitride (h‐BN), an insulating 2D layered material, has recently attracted
tremendous interest motivated by the extraordinary properties it shows across the fields of …

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 …

Optoelectronic resistive random access memory for neuromorphic vision sensors

F Zhou, Z Zhou, J Chen, TH Choy, J Wang… - Nature …, 2019 - nature.com
Neuromorphic visual systems have considerable potential to emulate basic functions of the
human visual system even beyond the visible light region. However, the complex circuitry of …

Memristor-based neural networks: a bridge from device to artificial intelligence

Z Cao, B Sun, G Zhou, S Mao, S Zhu, J Zhang… - Nanoscale …, 2023 - pubs.rsc.org
Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …

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 …

Large-scale and flexible optical synapses for neuromorphic computing and integrated visible information sensing memory processing

YX Hou, Y Li, ZC Zhang, JQ Li, DH Qi, XD Chen… - ACS …, 2020 - ACS Publications
Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …

In-memory computing with resistive switching devices

D Ielmini, HSP Wong - Nature electronics, 2018 - nature.com
Modern computers are based on the von Neumann architecture in which computation and
storage are physically separated: data are fetched from the memory unit, shuttled to the …