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 …

Advances in the application of perovskite materials

L Zhang, L Mei, K Wang, Y Lv, S Zhang, Y Lian, X Liu… - Nano-Micro Letters, 2023 - Springer
Nowadays, the soar of photovoltaic performance of perovskite solar cells has set off a fever
in the study of metal halide perovskite materials. The excellent optoelectronic properties and …

Electrolyte-gated transistors for enhanced performance bioelectronics

F Torricelli, DZ Adrahtas, Z Bao, M Berggren… - Nature Reviews …, 2021 - nature.com
Abstract Electrolyte-gated transistors (EGTs), capable of transducing biological and
biochemical inputs into amplified electronic signals and stably operating in aqueous …

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 …

Polariton condensates for classical and quantum computing

A Kavokin, TCH Liew, C Schneider… - Nature Reviews …, 2022 - nature.com
Polariton lasers emit coherent monochromatic light through a spontaneous emission
process. As a rare example of a system in which Bose–Einstein condensation and …

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 …

A Reconfigurable Optoelectronic Synaptic Transistor with Stable Zr‐CsPbI3 Nanocrystals for Visuomorphic Computing

H Shao, Y Li, W Yang, X He, L Wang, J Fu… - Advanced …, 2023 - Wiley Online Library
Reconfigurable phototransistor memory attracts considerable attention for adaptive
visuomorphic computing, with highly efficient sensing, memory, and processing functions …

Activity-difference training of deep neural networks using memristor crossbars

S Yi, JD Kendall, RS Williams, S Kumar - Nature Electronics, 2023 - nature.com
Artificial neural networks have rapidly progressed in recent years, but are limited by the high
energy costs required to train them on digital hardware. Emerging analogue hardware, such …

Volatile and nonvolatile memristive devices for neuromorphic computing

G Zhou, Z Wang, B Sun, F Zhou, L Sun… - Advanced Electronic …, 2022 - Wiley Online Library
Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

High-precision and linear weight updates by subnanosecond pulses in ferroelectric tunnel junction for neuro-inspired computing

Z Luo, Z Wang, Z Guan, C Ma, L Zhao, C Liu… - Nature …, 2022 - nature.com
The rapid development of neuro-inspired computing demands synaptic devices with ultrafast
speed, low power consumption, and multiple non-volatile states, among other features …