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 …

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 …

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 …

A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems

QB Zhu, B Li, DD Yang, C Liu, S Feng, ML Chen… - Nature …, 2021 - nature.com
The challenges of developing neuromorphic vision systems inspired by the human eye
come not only from how to recreate the flexibility, sophistication, and adaptability of animal …

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 …

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 …

Neuromorphic nanoelectronic materials

VK Sangwan, MC Hersam - Nature nanotechnology, 2020 - nature.com
Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …

Nanostructured perovskites for nonvolatile memory devices

Q Liu, S Gao, L Xu, W Yue, C Zhang, H Kan… - Chemical Society …, 2022 - pubs.rsc.org
Perovskite materials have driven tremendous advances in constructing electronic devices
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …

Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges

J Tang, F Yuan, X Shen, Z Wang, M Rao… - Advanced …, 2019 - Wiley Online Library
As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …