Perovskite neural trees

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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Auteurs principaux: 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
Format: article
Langue:EN
Publié: Nature Portfolio 2020
Sujets:
Science
Q
Accès en ligne:https://doaj.org/article/b299380324b440b29b94f53de8da2725
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Résumé: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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