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 …

Bioinspired interactive neuromorphic devices

J Yu, Y Wang, S Qin, G Gao, C Xu, ZL Wang, Q Sun - Materials Today, 2022 - Elsevier
The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

In‐sensor computing: materials, devices, and integration technologies

T Wan, B Shao, S Ma, Y Zhou, Q Li… - Advanced materials, 2023 - Wiley Online Library
The number of sensor nodes in the Internet of Things is growing rapidly, leading to a large
volume of data generated at sensory terminals. Frequent data transfer between the sensors …

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 …

Flexible neuromorphic electronics for computing, soft robotics, and neuroprosthetics

HL Park, Y Lee, N Kim, DG Seo, GT Go… - Advanced …, 2020 - Wiley Online Library
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

Memristor-based biomimetic compound eye for real-time collision detection

Y Wang, Y Gong, S Huang, X Xing, Z Lv… - Nature …, 2021 - nature.com
The lobula giant movement detector (LGMD) is the movement-sensitive, wide-field visual
neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate …

Flexible artificial sensory systems based on neuromorphic devices

F Sun, Q Lu, S Feng, T Zhang - ACS nano, 2021 - ACS Publications
Emerging flexible artificial sensory systems using neuromorphic electronics have been
considered as a promising solution for processing massive data with low power …

Retina‐inspired carbon nitride‐based photonic synapses for selective detection of UV light

HL Park, H Kim, D Lim, H Zhou, YH Kim… - Advanced …, 2020 - Wiley Online Library
Photonic synapses combine sensing and processing in a single device, so they are
promising candidates to emulate visual perception of a biological retina. However, photonic …

Progress of materials and devices for neuromorphic vision sensors

SW Cho, C Jo, YH Kim, SK Park - Nano-Micro Letters, 2022 - Springer
The latest developments in bio-inspired neuromorphic vision sensors can be summarized in
3 keywords: smaller, faster, and smarter.(1) Smaller: Devices are becoming more compact …

Memristor-based neural networks: a bridge from device to artificial intelligence

Z Cao, B Sun, G Zhou, S Mao, S Zhu, J Zhang… - Nanoscale …, 2023 - pubs.rsc.org
Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …