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

id	sg-nus-scholar.10635-196272
record_format	dspace
spelling	sg-nus-scholar.10635-1962722024-04-05T02:10:44Z Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing 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. INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT Circuit Systems Devices Electrical Engineering Materials Science Semiconductor Manufacturing 10.1016/j.isci.2020.101874 iScience 23 12 101874 2021-08-10T03:09:04Z 2021-08-10T03:09:04Z 2020 Article 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. (2020). Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing. iScience 23 (12) : 101874. ScholarBank@NUS Repository. https://doi.org/10.1016/j.isci.2020.101874 2589-0042 https://scholarbank.nus.edu.sg/handle/10635/196272 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Elsevier Inc. Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Circuit Systems Devices Electrical Engineering Materials Science Semiconductor Manufacturing
spellingShingle	Circuit Systems Devices Electrical Engineering Materials Science Semiconductor Manufacturing 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. Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing
description	10.1016/j.isci.2020.101874
author2	INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
author_facet	INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT 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.
format	Article
author	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.
author_sort	Cheng, S.
title	Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing
title_short	Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing
title_full	Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing
title_fullStr	Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing
title_full_unstemmed	Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing
title_sort	highly controllable and silicon-compatible ferroelectric photovoltaic synapses for neuromorphic computing
publisher	Elsevier Inc.
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/196272
_version_	1800914884739727360

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

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