Memristive technologies for data storage, computation, encryption, and radio-frequency communication

M Lanza, A Sebastian, WD Lu, M Le Gallo, MF Chang… - Science, 2022 - science.org
Memristive devices, which combine a resistor with memory functions such that voltage
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …

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 …

An optoelectronic synapse based on α-In2Se3 with controllable temporal dynamics for multimode and multiscale reservoir computing

K Liu, T Zhang, B Dang, L Bao, L Xu, C Cheng… - Nature …, 2022 - nature.com
Neuromorphic computing based on emerging devices could overcome the von Neumann
bottleneck—the restriction created by having to transfer data between memory and …

Transistors based on two-dimensional materials for future integrated circuits

S Das, A Sebastian, E Pop, CJ McClellan… - Nature …, 2021 - nature.com
Field-effect transistors based on two-dimensional (2D) materials have the potential to be
used in very large-scale integration (VLSI) technology, but whether they can be used at the …

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 …

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 …

2D materials–based homogeneous transistor-memory architecture for neuromorphic hardware

L Tong, Z Peng, R Lin, Z Li, Y Wang, X Huang, KH Xue… - Science, 2021 - science.org
In neuromorphic hardware, peripheral circuits and memories based on heterogeneous
devices are generally physically separated. Thus, exploration of homogeneous devices for …

Two-dimensional materials for next-generation computing technologies

C Liu, H Chen, S Wang, Q Liu, YG Jiang… - Nature …, 2020 - nature.com
Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …

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 …