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 …

Imperfection-enabled memristive switching in van der Waals materials

M Li, H Liu, R Zhao, FS Yang, M Chen, Y Zhuo… - Nature …, 2023 - nature.com
Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …

2D materials for future heterogeneous electronics

MC Lemme, D Akinwande, C Huyghebaert… - Nature …, 2022 - nature.com
Graphene and two-dimensional materials (2DM) remain an active field of research in
science and engineering over 15 years after the first reports of 2DM. The vast amount of …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Highly reproducible van der Waals integration of two-dimensional electronics on the wafer scale

X Yang, J Li, R Song, B Zhao, J Tang, L Kong… - Nature …, 2023 - nature.com
Abstract Two-dimensional (2D) semiconductors such as molybdenum disulfide (MoS2) have
attracted tremendous interest for transistor applications. However, the fabrication of 2D …

Standards for the characterization of endurance in resistive switching devices

M Lanza, R Waser, D Ielmini, JJ Yang, L Goux… - ACS …, 2021 - ACS Publications
Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …

Memristors based on 2D materials as an artificial synapse for neuromorphic electronics

W Huh, D Lee, CH Lee - Advanced materials, 2020 - Wiley Online Library
The memristor, a composite word of memory and resistor, has become one of the most
important electronic components for brain‐inspired neuromorphic computing in recent years …

In-sensor reservoir computing for language learning via two-dimensional memristors

L Sun, Z Wang, J Jiang, Y Kim, B Joo, S Zheng… - Science …, 2021 - science.org
The dynamic processing of optoelectronic signals carrying temporal and sequential
information is critical to various machine learning applications including language …

Phase engineering of 2D materials

D Kim, J Pandey, J Jeong, W Cho, S Lee… - Chemical …, 2023 - ACS Publications
Polymorphic 2D materials allow structural and electronic phase engineering, which can be
used to realize energy-efficient, cost-effective, and scalable device applications. The phase …

The future of memristors: Materials engineering and neural networks

K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …