Nature Communications (May 2020)

Perovskite neural trees

  • 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

DOI
https://doi.org/10.1038/s41467-020-16105-y
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 9

Abstract

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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.