Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing

Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing

10.1016/j.isci.2020.101874

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Bibliographic Details
Main Authors: Cheng, S., Fan, Z., Rao, J., Hong, L., Huang, Q., Tao, R., Hou, Z., Qin, M., Zeng, M., Lu, X., Zhou, G., Yuan, G., Gao, X., Liu, J.-M.
Other Authors: INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
Format: Article
Published: Elsevier Inc. 2021
Subjects:
Circuit Systems
Devices
Electrical Engineering
Materials Science
Semiconductor Manufacturing
Online Access:https://scholarbank.nus.edu.sg/handle/10635/196272
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Institution: National University of Singapore
Description
Summary:10.1016/j.isci.2020.101874

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