Self-selective van der Waals heterostructures for large scale memory array

Designing large-scale crossbar arrays for energy efficient neuromorphic computing systems remains a challenge. Here, the authors propose Van der Waals (h-BN/graphene/h-BN) self-selective memory design able to combine, in the same cell, non-volatile and volatile behaviors with negligible sneak curren...

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Auteurs principaux:	Linfeng Sun, Yishu Zhang, Gyeongtak Han, Geunwoo Hwang, Jinbao Jiang, Bomin Joo, Kenji Watanabe, Takashi Taniguchi, Young-Min Kim, Woo Jong Yu, Bai-Sun Kong, Rong Zhao, Heejun Yang
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2019
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/7f8571dd345148ba84f1f7dda8d08516
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id	oai:doaj.org-article:7f8571dd345148ba84f1f7dda8d08516
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spelling	oai:doaj.org-article:7f8571dd345148ba84f1f7dda8d085162021-12-02T16:57:53ZSelf-selective van der Waals heterostructures for large scale memory array10.1038/s41467-019-11187-92041-1723https://doaj.org/article/7f8571dd345148ba84f1f7dda8d085162019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11187-9https://doaj.org/toc/2041-1723Designing large-scale crossbar arrays for energy efficient neuromorphic computing systems remains a challenge. Here, the authors propose Van der Waals (h-BN/graphene/h-BN) self-selective memory design able to combine, in the same cell, non-volatile and volatile behaviors with negligible sneak current.Linfeng SunYishu ZhangGyeongtak HanGeunwoo HwangJinbao JiangBomin JooKenji WatanabeTakashi TaniguchiYoung-Min KimWoo Jong YuBai-Sun KongRong ZhaoHeejun YangNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Linfeng Sun Yishu Zhang Gyeongtak Han Geunwoo Hwang Jinbao Jiang Bomin Joo Kenji Watanabe Takashi Taniguchi Young-Min Kim Woo Jong Yu Bai-Sun Kong Rong Zhao Heejun Yang Self-selective van der Waals heterostructures for large scale memory array
description	Designing large-scale crossbar arrays for energy efficient neuromorphic computing systems remains a challenge. Here, the authors propose Van der Waals (h-BN/graphene/h-BN) self-selective memory design able to combine, in the same cell, non-volatile and volatile behaviors with negligible sneak current.
format	article
author	Linfeng Sun Yishu Zhang Gyeongtak Han Geunwoo Hwang Jinbao Jiang Bomin Joo Kenji Watanabe Takashi Taniguchi Young-Min Kim Woo Jong Yu Bai-Sun Kong Rong Zhao Heejun Yang
author_facet	Linfeng Sun Yishu Zhang Gyeongtak Han Geunwoo Hwang Jinbao Jiang Bomin Joo Kenji Watanabe Takashi Taniguchi Young-Min Kim Woo Jong Yu Bai-Sun Kong Rong Zhao Heejun Yang
author_sort	Linfeng Sun
title	Self-selective van der Waals heterostructures for large scale memory array
title_short	Self-selective van der Waals heterostructures for large scale memory array
title_full	Self-selective van der Waals heterostructures for large scale memory array
title_fullStr	Self-selective van der Waals heterostructures for large scale memory array
title_full_unstemmed	Self-selective van der Waals heterostructures for large scale memory array
title_sort	self-selective van der waals heterostructures for large scale memory array
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/7f8571dd345148ba84f1f7dda8d08516
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Self-selective van der Waals heterostructures for large scale memory array

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