Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition

Designing high-performance and energy efficient neural network hardware remains a challenge. Here, the authors develop a van der Waals hybrid synaptic device that features linear and symmetric conductance-update characteristics and demonstrate the feasibility for hardware neural network performing a...

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Autores principales:	Seunghwan Seo, Beom-Seok Kang, Je-Jun Lee, Hyo-Jun Ryu, Sungjun Kim, Hyeongjun Kim, Seyong Oh, Jaewoo Shim, Keun Heo, Saeroonter Oh, Jin-Hong Park
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ddfeb437f955467eb2a0687b177b7f09
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spelling	oai:doaj.org-article:ddfeb437f955467eb2a0687b177b7f092021-12-02T14:53:44ZArtificial van der Waals hybrid synapse and its application to acoustic pattern recognition10.1038/s41467-020-17849-32041-1723https://doaj.org/article/ddfeb437f955467eb2a0687b177b7f092020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17849-3https://doaj.org/toc/2041-1723Designing high-performance and energy efficient neural network hardware remains a challenge. Here, the authors develop a van der Waals hybrid synaptic device that features linear and symmetric conductance-update characteristics and demonstrate the feasibility for hardware neural network performing acoustic pattern recognition.Seunghwan SeoBeom-Seok KangJe-Jun LeeHyo-Jun RyuSungjun KimHyeongjun KimSeyong OhJaewoo ShimKeun HeoSaeroonter OhJin-Hong ParkNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Seunghwan Seo Beom-Seok Kang Je-Jun Lee Hyo-Jun Ryu Sungjun Kim Hyeongjun Kim Seyong Oh Jaewoo Shim Keun Heo Saeroonter Oh Jin-Hong Park Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition
description	Designing high-performance and energy efficient neural network hardware remains a challenge. Here, the authors develop a van der Waals hybrid synaptic device that features linear and symmetric conductance-update characteristics and demonstrate the feasibility for hardware neural network performing acoustic pattern recognition.
format	article
author	Seunghwan Seo Beom-Seok Kang Je-Jun Lee Hyo-Jun Ryu Sungjun Kim Hyeongjun Kim Seyong Oh Jaewoo Shim Keun Heo Saeroonter Oh Jin-Hong Park
author_facet	Seunghwan Seo Beom-Seok Kang Je-Jun Lee Hyo-Jun Ryu Sungjun Kim Hyeongjun Kim Seyong Oh Jaewoo Shim Keun Heo Saeroonter Oh Jin-Hong Park
author_sort	Seunghwan Seo
title	Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition
title_short	Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition
title_full	Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition
title_fullStr	Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition
title_full_unstemmed	Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition
title_sort	artificial van der waals hybrid synapse and its application to acoustic pattern recognition
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/ddfeb437f955467eb2a0687b177b7f09
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Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition

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