90% yield production of polymer nano-memristor for in-memory computing

Though polymer memristors are promising for low‐power flexible edge computing applications, realizing efficient nanometer‐scale arrays remains a challenge. Here, the authors report a record high 90% production yield in nm‐scale 2D conjugated polymer memristors with homogeneous resistive switching....

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Detalles Bibliográficos
Autores principales:	Bin Zhang, Weilin Chen, Jianmin Zeng, Fei Fan, Junwei Gu, Xinhui Chen, Lin Yan, Guangjun Xie, Shuzhi Liu, Qing Yan, Seung Jae Baik, Zhi-Guo Zhang, Weihua Chen, Jie Hou, Mohamed E. El-Khouly, Zhang Zhang, Gang Liu, Yu Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0bc59b27600145898d44d824d009517e
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spelling	oai:doaj.org-article:0bc59b27600145898d44d824d009517e2021-12-02T13:26:41Z90% yield production of polymer nano-memristor for in-memory computing10.1038/s41467-021-22243-82041-1723https://doaj.org/article/0bc59b27600145898d44d824d009517e2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22243-8https://doaj.org/toc/2041-1723Though polymer memristors are promising for low‐power flexible edge computing applications, realizing efficient nanometer‐scale arrays remains a challenge. Here, the authors report a record high 90% production yield in nm‐scale 2D conjugated polymer memristors with homogeneous resistive switching.Bin ZhangWeilin ChenJianmin ZengFei FanJunwei GuXinhui ChenLin YanGuangjun XieShuzhi LiuQing YanSeung Jae BaikZhi-Guo ZhangWeihua ChenJie HouMohamed E. El-KhoulyZhang ZhangGang LiuYu ChenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Bin Zhang Weilin Chen Jianmin Zeng Fei Fan Junwei Gu Xinhui Chen Lin Yan Guangjun Xie Shuzhi Liu Qing Yan Seung Jae Baik Zhi-Guo Zhang Weihua Chen Jie Hou Mohamed E. El-Khouly Zhang Zhang Gang Liu Yu Chen 90% yield production of polymer nano-memristor for in-memory computing
description	Though polymer memristors are promising for low‐power flexible edge computing applications, realizing efficient nanometer‐scale arrays remains a challenge. Here, the authors report a record high 90% production yield in nm‐scale 2D conjugated polymer memristors with homogeneous resistive switching.
format	article
author	Bin Zhang Weilin Chen Jianmin Zeng Fei Fan Junwei Gu Xinhui Chen Lin Yan Guangjun Xie Shuzhi Liu Qing Yan Seung Jae Baik Zhi-Guo Zhang Weihua Chen Jie Hou Mohamed E. El-Khouly Zhang Zhang Gang Liu Yu Chen
author_facet	Bin Zhang Weilin Chen Jianmin Zeng Fei Fan Junwei Gu Xinhui Chen Lin Yan Guangjun Xie Shuzhi Liu Qing Yan Seung Jae Baik Zhi-Guo Zhang Weihua Chen Jie Hou Mohamed E. El-Khouly Zhang Zhang Gang Liu Yu Chen
author_sort	Bin Zhang
title	90% yield production of polymer nano-memristor for in-memory computing
title_short	90% yield production of polymer nano-memristor for in-memory computing
title_full	90% yield production of polymer nano-memristor for in-memory computing
title_fullStr	90% yield production of polymer nano-memristor for in-memory computing
title_full_unstemmed	90% yield production of polymer nano-memristor for in-memory computing
title_sort	90% yield production of polymer nano-memristor for in-memory computing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0bc59b27600145898d44d824d009517e
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90% yield production of polymer nano-memristor for in-memory computing

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