Reliable Memristor Crossbar Array Based on 2D Layered Nickel Phosphorus Trisulfide for Energy-Efficient Neuromorphic Hardware.

Weng, Zhengjin; Zheng, Haofei; Li, Lingqi; Lei, Wei; Jiang, Helong; Ang, Kah-Wee; Zhao, Zhiwei

Weng, Zhengjin; Zheng, Haofei; Li, Lingqi; Lei, Wei; Jiang, Helong; Ang, Kah-Wee; Zhao, Zhiwei.

Afiliación

Weng Z; Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, China.
Zheng H; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Li L; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Lei W; Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, China.
Jiang H; State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences, Nanjing, 210008, China.
Ang KW; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Zhao Z; Institute of Materials Research and Engineering, A*STAR, Singapore, 138634, Singapore.

Small ; 20(5): e2304518, 2024 Feb.

Article en En | MEDLINE | ID: mdl-37752744

Palabras clave

artificial neural networks; memristors; multipattern memorizations; multiply-and-accumulate operations; neuromorphic computing; nickel phosphorus trisulfides

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Small Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google