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Perovskite neural trees.
Zhang, Hai-Tian; Park, Tae Joon; Zaluzhnyy, Ivan A; Wang, Qi; Wadekar, Shakti Nagnath; Manna, Sukriti; Andrawis, Robert; Sprau, Peter O; Sun, Yifei; Zhang, Zhen; Huang, Chengzi; Zhou, Hua; Zhang, Zhan; Narayanan, Badri; Srinivasan, Gopalakrishnan; Hua, Nelson; Nazaretski, Evgeny; Huang, Xiaojing; Yan, Hanfei; Ge, Mingyuan; Chu, Yong S; Cherukara, Mathew J; Holt, Martin V; Krishnamurthy, Muthu; Shpyrko, Oleg G; Sankaranarayanan, Subramanian K R S; Frano, Alex; Roy, Kaushik; Ramanathan, Shriram.
Afiliação
  • Zhang HT; School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA. htzhang@purdue.edu.
  • Park TJ; Lillian Gilbreth Fellowship Program, College of Engineering, Purdue University, West Lafayette, IN, 47907, USA. htzhang@purdue.edu.
  • Zaluzhnyy IA; School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Wang Q; Department of Physics, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Wadekar SN; School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Manna S; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Andrawis R; Center for Nanoscale Materials, Argonne National Laboratory, Argonne, IL, 60439, USA.
  • Sprau PO; Department of Mechanical and Industrial Engineering, University of Illinois, Chicago, IL, 60607, USA.
  • Sun Y; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Zhang Z; Department of Physics, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Huang C; School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Zhou H; School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Zhang Z; School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Narayanan B; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, Lemont, IL, 60439, USA.
  • Srinivasan G; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, Lemont, IL, 60439, USA.
  • Hua N; Department of Mechanical Engineering, University of Louisville, Louisville, KY, 40292, USA.
  • Nazaretski E; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Huang X; Department of Physics, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Yan H; National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA.
  • Ge M; National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA.
  • Chu YS; National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA.
  • Cherukara MJ; National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA.
  • Holt MV; National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA.
  • Krishnamurthy M; Center for Nanoscale Materials, Argonne National Laboratory, Argonne, IL, 60439, USA.
  • Shpyrko OG; Center for Nanoscale Materials, Argonne National Laboratory, Argonne, IL, 60439, USA.
  • Sankaranarayanan SKRS; Department of Mathematics, University of Iowa, Iowa City, IA, 52242, USA.
  • Frano A; Department of Physics, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Roy K; Center for Nanoscale Materials, Argonne National Laboratory, Argonne, IL, 60439, USA.
  • Ramanathan S; Department of Mechanical and Industrial Engineering, University of Illinois, Chicago, IL, 60607, USA.
Nat Commun ; 11(1): 2245, 2020 05 07.
Article em En | MEDLINE | ID: mdl-32382036
ABSTRACT
Trees are used by animals, humans and machines to classify information and make decisions. Natural tree structures displayed by synapses of the brain involves potentiation and depression capable of branching and is essential for survival and learning. Demonstration of such features in synthetic matter is challenging due to the need to host a complex energy landscape capable of learning, memory and electrical interrogation. We report experimental realization of tree-like conductance states at room temperature in strongly correlated perovskite nickelates by modulating proton distribution under high speed electric pulses. This demonstration represents physical realization of ultrametric trees, a concept from number theory applied to the study of spin glasses in physics that inspired early neural network theory dating almost forty years ago. We apply the tree-like memory features in spiking neural networks to demonstrate high fidelity object recognition, and in future can open new directions for neuromorphic computing and artificial intelligence.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos