Energy-Efficient Reservoir Computing Based on Solution-Processed Electrolyte/Ferroelectric Memcapacitive Synapses for Biosignal Classification-Reference-Cited by-同舟云学术

Energy-Efficient Reservoir Computing Based on Solution-Processed Electrolyte/Ferroelectric Memcapacitive Synapses for Biosignal Classification

Published:2024-08-12 Issue:33 Volume:15 Page:8501-8509
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Jiang Sai¹²^ORCID,Sun Jinrui¹,Pei Mengjiao²,Peng Lichao¹,Dai Qinyong²,Wu Chaoran¹,Gu Jiahao¹,Yang Yanqin¹,Su Jian¹^ORCID,Gu Ding¹,Zhang Han¹,Guo Huafei¹^ORCID,Li Yun²^ORCID

Affiliation:

1. School of Integrated Circuits Industry, Wang Zheng School of Microelectronics, Changzhou University, Changzhou, Jiangsu 213164, People’s Republic of China

2. National Laboratory of Solid-State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, Jiangsu 210093, People’s Republic of China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Leading Innovative Talents Introduction and Cultivation Project of Changzhou

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.4c01896

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