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[RIBF ULIC MiniWS037] [Rearranged schedule] Combining Nuclear Theory and Machine Learning for fundamental studies and applications

29–30 Nov 2022
RIKEN Wako Campus
Asia/Tokyo timezone

Contact (Masaaki Kimura)

Contribution List

9 out of 9 displayed
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  1. 2. opening
    Masaaki Kimura (RIKEN Nishina Center)
    29/11/2022, 13:20
  2. 3. Shell model + ML (temporary)
    Noritaka Shimizu (Center for Nuclear Study, University of Tokyo)
    29/11/2022, 13:30
  3. 5. Uncertainty evaluation of GDR peak energy and new parameter set
    Tsunenori Inakura (Tokyo Tech)
    29/11/2022, 14:30
  4. 6. Nuclear mass predictions with machine learning reaching the accuracy required by r-process studies
    Dr Haozhao Liang (The University of Tokyo)
    29/11/2022, 15:40
  5. 7. Assessing transfer entropy from biochemical data
    Prof. Yoshiyuki Kabashima
    30/11/2022, 10:00
  6. 8. Machine learning assisted density functional theory for electronic systems
    Ryosuke Akashi
    30/11/2022, 11:10
  7. 9. Uncertainty evaluation of neutron cross section using T6
    Tsunenori Inakura (Tokyo Tech)
    30/11/2022, 13:00
  8. 10. ML for Fission products
    Futoshi Minato (Japan Atomic Energy Agency)
    30/11/2022, 13:40
  9. 11. Learning from what we had disposed and an accelerator to “Machine Learning + nuclear physics”
    Sota Yoshida (The university of Tokyo)
    30/11/2022, 14:30

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