[HTML][HTML] Memristive devices based on two-dimensional transition metal chalcogenides for neuromorphic computing

KC Kwon, JH Baek, K Hong, SY Kim, HW Jang - Nano-Micro Letters, 2022 - Springer
Abstract Two-dimensional (2D) transition metal chalcogenides (TMC) and their
heterostructures are appealing as building blocks in a wide range of electronic and …

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 …

Low-power memristor based on two-dimensional materials

H Duan, S Cheng, L Qin, X Zhang, B Xie… - The Journal of …, 2022 - ACS Publications
The memristor is an excellent candidate for nonvolatile memory and neuromorphic
computing. Recently, two-dimensional (2D) materials have been developed for use in …

Memristor based on inorganic and organic two-dimensional materials: mechanisms, performance, and synaptic applications

K Liao, P Lei, M Tu, S Luo, T Jiang… - ACS Applied Materials …, 2021 - ACS Publications
A memristor is a two-terminal device with nonvolatile resistive switching (RS) behaviors.
Recently, memristors have been highly desirable for both fundamental research and …

Optoelectronic artificial synapses based on two-dimensional transitional-metal trichalcogenide

L Liu, Z Cheng, B Jiang, Y Liu, Y Zhang… - … Applied Materials & …, 2021 - ACS Publications
The memristor is a foundational device for an artificial synapse, which is essential to realize
next-generation neuromorphic computing. Herein, an optoelectronic memristor based on a …

Current status and prospects of memristors based on novel 2D materials

Q Zhao, Z Xie, YP Peng, K Wang, H Wang, X Li… - Materials …, 2020 - pubs.rsc.org
As promising non-volatile memory devices, memristors have received extensive attention
since they can effectively mimic synapses and enable the fabrication of neuromorphic …

Recent advances in memristive materials for artificial synapses

SG Kim, JS Han, H Kim, SY Kim… - Advanced materials …, 2018 - Wiley Online Library
Neuromorphic architectures are in the spotlight as promising candidates for substituting
current computing systems owing to their high operation speed, scale‐down ability, and …

Recent advances on crystalline materials-based flexible memristors for data storage and neuromorphic applications

Y Li, C Zhang, Z Shi, C Ma, J Wang, Q Zhang - Science China Materials, 2022 - Springer
Memristors have recently emerged as promising contenders for in-memory computing and
artificial neural networks, attributed to their analogies to biological synapses and neurons in …

Towards engineering in memristors for emerging memory and neuromorphic computing: A review

AS Sokolov, H Abbas, Y Abbas… - Journal of …, 2021 - iopscience.iop.org
Resistive random-access memory (RRAM), also known as memristors, having a very simple
device structure with two terminals, fulfill almost all of the fundamental requirements of …

Flexible, Transparent, and Wafer‐Scale Artificial Synapse Array Based on TiOx/Ti3C2Tx Film for Neuromorphic Computing

J Huang, S Yang, X Tang, L Yang, W Chen… - Advanced …, 2023 - Wiley Online Library
A high‐density neuromorphic computing memristor array based on 2D materials paves the
way for next‐generation information‐processing components and in‐memory computing …