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 …

Porous crystalline materials for memories and neuromorphic computing systems

G Ding, JY Zhao, K Zhou, Q Zheng, ST Han… - Chemical Society …, 2023 - pubs.rsc.org
Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …

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 …

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 …

The future of electronics based on memristive systems

MA Zidan, JP Strachan, WD Lu - Nature electronics, 2018 - nature.com
A memristor is a resistive device with an inherent memory. The theoretical concept of a
memristor was connected to physically measured devices in 2008 and since then there has …

Recommended methods to study resistive switching devices

M Lanza, HSP Wong, E Pop, D Ielmini… - Advanced Electronic …, 2019 - Wiley Online Library
Resistive switching (RS) is an interesting property shown by some materials systems that,
especially during the last decade, has gained a lot of interest for the fabrication of electronic …

Anomalous resistive switching in memristors based on two-dimensional palladium diselenide using heterophase grain boundaries

Y Li, L Loh, S Li, L Chen, B Li, M Bosman, KW Ang - Nature Electronics, 2021 - nature.com
The implementation of memristive synapses in neuromorphic computing is hindered by the
limited reproducibility and high energy consumption of the switching behaviour of the …

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations

S Choi, SH Tan, Z Li, Y Kim, C Choi, PY Chen… - Nature materials, 2018 - nature.com
Although several types of architecture combining memory cells and transistors have been
used to demonstrate artificial synaptic arrays, they usually present limited scalability and …

Vacancy‐Induced Synaptic Behavior in 2D WS2 Nanosheet–Based Memristor for Low‐Power Neuromorphic Computing

X Yan, Q Zhao, AP Chen, J Zhao, Z Zhou, J Wang… - Small, 2019 - Wiley Online Library
Memristors with nonvolatile memory characteristics have been expected to open a new era
for neuromorphic computing and digital logic. However, existing memristor devices based …

Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing

H Bian, YY Goh, Y Liu, H Ling, L Xie… - Advanced Materials, 2021 - Wiley Online Library
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …