Toward physical reservoir system composed of polyaniline-Au nanoparticle random network

• Kawashima Yuya

  Osaka University

• Usami Yuki

  Osaka University LSSE, Kyushu Institute of Technology (Kyutech) Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology (Kyutech)

• Kotooka Takumi

  LSSE, Kyushu Institute of Technology (Kyutech)

• Tanaka Hirofumi

  LSSE, Kyushu Institute of Technology (Kyutech) Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology (Kyutech)

• Matsumoto Takuya

  Osaka University

Bibliographic Information

Other Title

• 物理リザバーに向けたポリアニリン-金微粒子ランダムネットワークの構築

Abstract

Reservoir computing (RC) is an information processing system that can replace the operations performed in the reservoir layer with physical behavior. We have previously shown that nonlinear I-V characteristics occur in a network consisting of self-doped polyaniline molecules (SPAN) and Au nanoparticles (AuNP). In this study, the nonlinear electrical and storage properties between multiple-input and multiple-output electrodes were investigated by nano-gap electrodes to explore the applicability of the SPAN-AuNP network to RC.

Journal

• Abstract book of Annual Meeting of the Japan Society of Vacuum and Surface Science

  Abstract book of Annual Meeting of the Japan Society of Vacuum and Surface Science 2020 (0), 268-, 2020

  The Japan Society of Vacuum and Surface Science

Details

• CRID: 1391131406292195712
• NII Article ID: 130007959456
• DOI: 10.14886/jvss.2020.0_268
• ISSN: 24348589
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed