Artificial visual perception neural system using a solution-processable MoS<sub>2</sub>-based in-memory light sensor.

Kumar, Dayanand; Joharji, Lana; Li, Hanrui; Rezk, Ayman; Nayfeh, Ammar; El-Atab, Nazek

Artificial visual perception neural system using a solution-processable MoS₂-based in-memory light sensor.

Kumar, Dayanand; Joharji, Lana; Li, Hanrui; Rezk, Ayman; Nayfeh, Ammar; El-Atab, Nazek.

Afiliação

Kumar D; Smart, Advanced Memory Devices and Applications (SAMA) Laboratory, Electrical and Computer Engineering Program, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Kingdom of Saudi Arabia.
Joharji L; Smart, Advanced Memory Devices and Applications (SAMA) Laboratory, Electrical and Computer Engineering Program, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Kingdom of Saudi Arabia.
Li H; Smart, Advanced Memory Devices and Applications (SAMA) Laboratory, Electrical and Computer Engineering Program, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Kingdom of Saudi Arabia.
Rezk A; Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, 127788, United Arab Emirates.
Nayfeh A; Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, 127788, United Arab Emirates.
El-Atab N; Smart, Advanced Memory Devices and Applications (SAMA) Laboratory, Electrical and Computer Engineering Program, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Kingdom of Saudi Arabia. nazek.elatab@kaust.ed

Light Sci Appl ; 12(1): 109, 2023 May 05.

Article em En | MEDLINE | ID: mdl-37147334

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Light Sci Appl Ano de publicação: 2023 Tipo de documento: Article País de publicação: Reino Unido

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