構造・反応を貫く核子多体系の代理モデルの開発

• Project Area: Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundamental Physics by A New Field Integrating Machine Learning and Physics
• Project/Area Number: 25H01511
• Research Category: Grant-in-Aid for Transformative Research Areas (A)
• Allocation Type: Single-year Grants
• Review Section: Transformative Research Areas, Section (II)
• Research Institution: Utsunomiya University
• Principal Investigator: 吉田 聡太 宇都宮大学, データサイエンス経営学部, 准教授 (10868665)
• Project Period (FY): 2025-04-01 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000); Fiscal Year 2025: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)