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Michishita Yoshihiro  道下 佳寛

ORCIDConnect your ORCID iD *help
Researcher Number 90969411
Other IDs
Affiliation (Current) 2025: 埼玉大学, 理工学研究科, 研究員
Affiliation (based on the past Project Information) *help 2023 – 2024: 国立研究開発法人理化学研究所, 創発物性科学研究センター, 客員研究員
Review Section/Research Field
Principal Investigator
Transformative Research Areas, Section (II) / Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related
Keywords
Principal Investigator
強化学習 / 機械学習 / cavity systems / Floquet systems / 強相関系 / machine learning / 周期駆動系 / 量子多体系
  • Research Projects

    (2 results)
  • Research Products

    (3 results)
  •  Development of an integrated method of physics and machine learning based on scale separationPrincipal Investigator

    • Principal Investigator
      道下 佳寛
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related
    • Research Institution
      Institute of Physical and Chemical Research
  •  Machine-Learning-assisted Construction of Appropriate FramePrincipal Investigator

    • Principal Investigator
      道下 佳寛
    • Project Period (FY)
      2023 – 2024
    • Research Category
      Grant-in-Aid for Transformative Research Areas (A)
    • Review Section
      Transformative Research Areas, Section (II)
    • Research Institution
      Institute of Physical and Chemical Research

All 2024 2023

All Journal Article Presentation

  • [Journal Article] Alpha Zero for Physics: Application of Symbolic Regression with Alpha Zero to Find the Analytical Methods in Physics2024

    • Author(s)
      Yoshihiro Michishita
    • Journal Title

      Journal of the Physical Society of Japan

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PUBLICLY-23H04527
  • [Presentation] Alpha Zero For Physicsに向けて- 物理の理論解析手法開拓への強化学習の応用2023

    • Author(s)
      道下 佳寛
    • Organizer
      日本物理学会第 778回年次大会
    • Data Source
      KAKENHI-PUBLICLY-23H04527
  • [Presentation] Search for the analytic representation of the appropriate frame with Symbolic Physics Learner2023

    • Author(s)
      Yoshihiro Michishita
    • Organizer
      Large-scale lattice QCD simulation and application of machine learning
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-23H04527

URL: 

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