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 …

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 …

Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing

Y Zhong, J Tang, X Li, B Gao, H Qian, H Wu - Nature communications, 2021 - nature.com
Reservoir computing is a highly efficient network for processing temporal signals due to its
low training cost compared to standard recurrent neural networks, and generating rich …

Application of an artificial neural network to optimise energy inputs: An energy-and cost-saving strategy for commercial poultry farms

E Elahi, Z Zhang, Z Khalid, H Xu - Energy, 2022 - Elsevier
The current study estimates target values of energy inputs along with an assessment of
energy-and cost-saving strategies for poultry farms. In 2019, cross-sectional data were …

Emerging memristive artificial synapses and neurons for energy‐efficient neuromorphic computing

S Choi, J Yang, G Wang - Advanced Materials, 2020 - Wiley Online Library
Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

Neuromorphic engineering: from biological to spike‐based hardware nervous systems

JQ Yang, R Wang, Y Ren, JY Mao, ZP Wang… - Advanced …, 2020 - Wiley Online Library
The human brain is a sophisticated, high‐performance biocomputer that processes multiple
complex tasks in parallel with high efficiency and remarkably low power consumption …

Semiconductor quantum dots for memories and neuromorphic computing systems

Z Lv, Y Wang, J Chen, J Wang, Y Zhou… - Chemical reviews, 2020 - ACS Publications
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …

Retina‐inspired artificial synapses with ultraviolet to near‐infrared broadband responses for energy‐efficient neuromorphic visual systems

J Zhang, P Guo, Z Guo, L Li, T Sun… - Advanced Functional …, 2023 - Wiley Online Library
Neuromorphic visual system with image perception, memory, and preprocessing functions is
expected to simulate basic features of the human retina. Organic optoelectronic synaptic …

Brain organoid reservoir computing for artificial intelligence

H Cai, Z Ao, C Tian, Z Wu, H Liu, J Tchieu, M Gu… - Nature …, 2023 - nature.com
Brain-inspired computing hardware aims to emulate the structure and working principles of
the brain and could be used to address current limitations in artificial intelligence …

Optoelectronic synaptic devices for neuromorphic computing

Y Wang, L Yin, W Huang, Y Li, S Huang… - Advanced Intelligent …, 2021 - Wiley Online Library
Neuromorphic computing can potentially solve the von Neumann bottleneck of current
mainstream computing because it excels at self‐adaptive learning and highly parallel …