Protonic solid-state electrochemical synapse for physical neural networks

Protonic solid-state electrochemical synapse for physical neural networks

Physical neural networks made of analog resistive switching processors are promising platforms for analog computing. State-of-the-art resistive switches rely on either conductive filament formation or phase change. These processes suffer from poor reproducibility or high energy consumption, respecti...

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Bibliographic Details
Main Authors: Yao, Xiahui, Klyukin, Konstantin, Lu, Wenjie, Onen, Murat, Ryu, Seungchan, Kim, Dongha, Emond, Nicolas, del Alamo, Jesús A., Li, Ju, Yildiz, Bilge
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2021
Online Access:https://hdl.handle.net/1721.1/129958

Internet

https://hdl.handle.net/1721.1/129958

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