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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Main Authors:	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
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-08-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-17849-3

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spelling	doaj-ddfeb437f955467eb2a0687b177b7f092021-08-08T11:38:45ZengNature Publishing GroupNature Communications2041-17232020-08-011111910.1038/s41467-020-17849-3Artificial van der Waals hybrid synapse and its application to acoustic pattern recognitionSeunghwan Seo0Beom-Seok Kang1Je-Jun Lee2Hyo-Jun Ryu3Sungjun Kim4Hyeongjun Kim5Seyong Oh6Jaewoo Shim7Keun Heo8Saeroonter Oh9Jin-Hong Park10Department of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Mechanical Engineering, Massachusetts Institute of Technology (MIT)Department of Electrical and Computer Engineering, Sungkyunkwan UniversityDivision of Electrical Engineering, Hanyang UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDesigning 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.https://doi.org/10.1038/s41467-020-17849-3
collection	DOAJ
language	English
format	Article
sources	DOAJ
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
spellingShingle	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 Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-08-01
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.
url	https://doi.org/10.1038/s41467-020-17849-3
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Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition

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