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 …

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 …

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 …

A calibratable sensory neuron based on epitaxial VO2 for spike-based neuromorphic multisensory system

R Yuan, Q Duan, PJ Tiw, G Li, Z **ao, Z **g… - Nature …, 2022‏ - nature.com
Neuromorphic perception systems inspired by biology have tremendous potential in
efficiently processing multi-sensory signals from the physical world, but a highly efficient …

Reconfigurable perovskite nickelate electronics for artificial intelligence

HT Zhang, TJ Park, ANMN Islam, DSJ Tran, S Manna… - Science, 2022‏ - science.org
Reconfigurable devices offer the ability to program electronic circuits on demand. In this
work, we demonstrated on-demand creation of artificial neurons, synapses, and memory …

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 …

A chemically mediated artificial neuron

T Wang, M Wang, J Wang, L Yang, X Ren, G Song… - Nature …, 2022‏ - nature.com
Brain–machine interfaces typically rely on electrophysiological signals to interpret and
transmit neurological information. In biological systems, however, neurotransmitters are …

Artificial skin perception

M Wang, Y Luo, T Wang, C Wan, L Pan… - Advanced …, 2021‏ - Wiley Online Library
Skin is the largest organ, with the functionalities of protection, regulation, and sensation. The
emulation of human skin via flexible and stretchable electronics gives rise to electronic skin …

Memristive crossbar arrays for brain-inspired computing

Q **a, JJ Yang - Nature materials, 2019‏ - nature.com
With their working mechanisms based on ion migration, the switching dynamics and
electrical behaviour of memristive devices resemble those of synapses and neurons, making …

Evolution of the conductive filament system in HfO2-based memristors observed by direct atomic-scale imaging

Y Zhang, GQ Mao, X Zhao, Y Li, M Zhang, Z Wu… - Nature …, 2021‏ - nature.com
The resistive switching effect in memristors typically stems from the formation and rupture of
localized conductive filament paths, and HfO2 has been accepted as one of the most …