Recognizing Spatiotemporal Features by a Neuromorphic Network with Highly Reliable Ferroelectric Capacitors on Epitaxial GeSn Film.

Peng, Hao-Kai; Huang, Yu-Kai; Chou, Chuan-Pu; Wu, Yung-Hsien

Peng, Hao-Kai; Huang, Yu-Kai; Chou, Chuan-Pu; Wu, Yung-Hsien.

Afiliación

Peng HK; Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Huang YK; Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Chou CP; Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Wu YH; Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan.

ACS Appl Mater Interfaces ; 13(22): 26630-26638, 2021 Jun 09.

Article en En | MEDLINE | ID: mdl-34038096

Palabras clave

GeSn; HfZrOx; ferroelectric capacitor; neuromorphic computing; plasticity; reliability; spiking neural network

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Estados Unidos

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