Perovskite neural trees

Designing energy efficient and scalable artificial networks for neuromorphic computing remains a challenge. Here, the authors demonstrate tree-like conductance states at room temperature in strongly correlated perovskite nickelates by modulating proton distribution under high speed electric pulses.

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Autores principales: Hai-Tian Zhang, Tae Joon Park, Ivan A. Zaluzhnyy, Qi Wang, Shakti Nagnath Wadekar, Sukriti Manna, Robert Andrawis, Peter O. Sprau, Yifei Sun, Zhen Zhang, Chengzi Huang, Hua Zhou, Zhan Zhang, Badri Narayanan, Gopalakrishnan Srinivasan, Nelson Hua, Evgeny Nazaretski, Xiaojing Huang, Hanfei Yan, Mingyuan Ge, Yong S. Chu, Mathew J. Cherukara, Martin V. Holt, Muthu Krishnamurthy, Oleg G. Shpyrko, Subramanian K.R.S. Sankaranarayanan, Alex Frano, Kaushik Roy, Shriram Ramanathan
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/b299380324b440b29b94f53de8da2725
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spelling oai:doaj.org-article:b299380324b440b29b94f53de8da27252021-12-02T17:31:38ZPerovskite neural trees10.1038/s41467-020-16105-y2041-1723https://doaj.org/article/b299380324b440b29b94f53de8da27252020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16105-yhttps://doaj.org/toc/2041-1723Designing energy efficient and scalable artificial networks for neuromorphic computing remains a challenge. Here, the authors demonstrate tree-like conductance states at room temperature in strongly correlated perovskite nickelates by modulating proton distribution under high speed electric pulses.Hai-Tian ZhangTae Joon ParkIvan A. ZaluzhnyyQi WangShakti Nagnath WadekarSukriti MannaRobert AndrawisPeter O. SprauYifei SunZhen ZhangChengzi HuangHua ZhouZhan ZhangBadri NarayananGopalakrishnan SrinivasanNelson HuaEvgeny NazaretskiXiaojing HuangHanfei YanMingyuan GeYong S. ChuMathew J. CherukaraMartin V. HoltMuthu KrishnamurthyOleg G. ShpyrkoSubramanian K.R.S. SankaranarayananAlex FranoKaushik RoyShriram RamanathanNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Hai-Tian Zhang
Tae Joon Park
Ivan A. Zaluzhnyy
Qi Wang
Shakti Nagnath Wadekar
Sukriti Manna
Robert Andrawis
Peter O. Sprau
Yifei Sun
Zhen Zhang
Chengzi Huang
Hua Zhou
Zhan Zhang
Badri Narayanan
Gopalakrishnan Srinivasan
Nelson Hua
Evgeny Nazaretski
Xiaojing Huang
Hanfei Yan
Mingyuan Ge
Yong S. Chu
Mathew J. Cherukara
Martin V. Holt
Muthu Krishnamurthy
Oleg G. Shpyrko
Subramanian K.R.S. Sankaranarayanan
Alex Frano
Kaushik Roy
Shriram Ramanathan
Perovskite neural trees
description Designing energy efficient and scalable artificial networks for neuromorphic computing remains a challenge. Here, the authors demonstrate tree-like conductance states at room temperature in strongly correlated perovskite nickelates by modulating proton distribution under high speed electric pulses.
format article
author Hai-Tian Zhang
Tae Joon Park
Ivan A. Zaluzhnyy
Qi Wang
Shakti Nagnath Wadekar
Sukriti Manna
Robert Andrawis
Peter O. Sprau
Yifei Sun
Zhen Zhang
Chengzi Huang
Hua Zhou
Zhan Zhang
Badri Narayanan
Gopalakrishnan Srinivasan
Nelson Hua
Evgeny Nazaretski
Xiaojing Huang
Hanfei Yan
Mingyuan Ge
Yong S. Chu
Mathew J. Cherukara
Martin V. Holt
Muthu Krishnamurthy
Oleg G. Shpyrko
Subramanian K.R.S. Sankaranarayanan
Alex Frano
Kaushik Roy
Shriram Ramanathan
author_facet Hai-Tian Zhang
Tae Joon Park
Ivan A. Zaluzhnyy
Qi Wang
Shakti Nagnath Wadekar
Sukriti Manna
Robert Andrawis
Peter O. Sprau
Yifei Sun
Zhen Zhang
Chengzi Huang
Hua Zhou
Zhan Zhang
Badri Narayanan
Gopalakrishnan Srinivasan
Nelson Hua
Evgeny Nazaretski
Xiaojing Huang
Hanfei Yan
Mingyuan Ge
Yong S. Chu
Mathew J. Cherukara
Martin V. Holt
Muthu Krishnamurthy
Oleg G. Shpyrko
Subramanian K.R.S. Sankaranarayanan
Alex Frano
Kaushik Roy
Shriram Ramanathan
author_sort Hai-Tian Zhang
title Perovskite neural trees
title_short Perovskite neural trees
title_full Perovskite neural trees
title_fullStr Perovskite neural trees
title_full_unstemmed Perovskite neural trees
title_sort perovskite neural trees
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/b299380324b440b29b94f53de8da2725
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