Zinc Tin Oxide Synaptic Device for Neuromorphic Engineering

Neuromorphic computing offers parallel data processing and low energy consumption and can be useful to replace conventional von Neumann computing. Memristors are two-terminal devices with varying conductance that can be used as synaptic arrays in hardware-based neuromorphic devices. In this research...

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Autors principals:	Ji-Ho Ryu, Boram Kim, Fayyaz Hussain, Muhammad Ismail, Chandreswar Mahata, Teresa Oh, Muhammad Imran, Kyung Kyu Min, Tae-Hyeon Kim, Byung-Do Yang, Seongjae Cho, Byung-Gook Park, Yoon Kim, Sungjun Kim
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2020-01-01
Col·lecció:	IEEE Access
Matèries:	Neuromorphic synaptic device zinc tin oxide density function theory neural network
Accés en línia:	https://ieeexplore.ieee.org/document/9144610/
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