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 …

Hybrid 2D–CMOS microchips for memristive applications

K Zhu, S Pazos, F Aguirre, Y Shen, Y Yuan, W Zheng… - Nature, 2023 - nature.com
Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate
advanced electronic circuits is a major goal for the semiconductor industry,. However, most …

Emerging research landscape of altermagnetism

L Šmejkal, J Sinova, T Jungwirth - Physical Review X, 2022 - APS
Magnetism is one of the largest, most fundamental, and technologically most relevant fields
of condensed-matter physics. Traditionally, two basic magnetic phases have been …

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 …

Brain organoid reservoir computing for artificial intelligence

H Cai, Z Ao, C Tian, Z Wu, H Liu, J Tchieu, M Gu… - Nature …, 2023 - nature.com
Brain-inspired computing hardware aims to emulate the structure and working principles of
the brain and could be used to address current limitations in artificial intelligence …

Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics

T Wang, J Meng, X Zhou, Y Liu, Z He, Q Han… - Nature …, 2022 - nature.com
Neuromorphic computing memristors are attractive to construct low-power-consumption
electronic textiles due to the intrinsic interwoven architecture and promising applications in …

Artificial neuron devices

K He, C Wang, Y He, J Su, X Chen - Chemical Reviews, 2023 - ACS Publications
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing

RA John, Y Demirağ, Y Shynkarenko… - Nature …, 2022 - nature.com
Many in-memory computing frameworks demand electronic devices with specific switching
characteristics to achieve the desired level of computational complexity. Existing memristive …

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 …