MLPhys Foundation of “Machine Learning Physics” Grant-in-Aid for Transformative Research Areas (A) MLPhys Foundation of “Machine Learning Physics” Grant-in-Aid for Transformative Research Areas (A)

Resolution of fundamental problems in physics
via unification of theoretical methods of
Machine learning and Physics

Physics:The most precise testing ground in natural science Multi-hierarchical problems and collaborative mathematics. Machine Learning; Explosive field of computational science Social and technological innovation Physics・Machine Learning

Machine Learning Physics

Discovering new laws, pioneering new materials

Solving fundamental problems in physics by integrating theoretical methods in machine learning and in physics

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NEWS
Notice

  • 2022.09.01
    Notifications
    Grant-in-Aid for Transformative Research Areas（A）（Publicly Offered Research）is now open for application.
    Ref: MEXT webpage
  • 2022.09.01
    Notifications
    This website is open to public
  • Information planned to be released in FY2023

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Head Investigator

Koji Hashimoto

Professor
Particle Physics Theory Group
Department of physics, Kyoto University

The research area "Machine Learning Physics" will begin
with the aim of discovering new laws and pioneering new materials

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