世界体積ハイブリッドモンテカルロ法による実時間シミュレーションへの機械学習の適用

• Project Area: Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundamental Physics by A New Field Integrating Machine Learning and Physics
• Project/Area Number: 25H01533
• Research Category: Grant-in-Aid for Transformative Research Areas (A)
• Allocation Type: Single-year Grants
• Review Section: Transformative Research Areas, Section (II)
• Research Institution: Kyoto University
• Principal Investigator: 福間 将文 京都大学, 理学研究科, 准教授 (10252529)
• Project Period (FY): 2025-04-01 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000); Fiscal Year 2025: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)