Zinc Tin Oxide Synaptic Device for Neuromorphic Engineering

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Neuromorphic
synaptic device
zinc tin oxide
density function theory
neural network
Online Access:https://ieeexplore.ieee.org/document/9144610/

Internet

https://ieeexplore.ieee.org/document/9144610/

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