深層学習とトポロジカルデータ解析の融合によるガラスの構造秩序抽出

• Project Area: Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundamental Physics by A New Field Integrating Machine Learning and Physics
• Project/Area Number: 25H01519
• Research Category: Grant-in-Aid for Transformative Research Areas (A)
• Allocation Type: Single-year Grants
• Review Section: Transformative Research Areas, Section (II)
• Research Institution: The University of Tokyo
• Principal Investigator: 水野 英如 東京大学, 大学院総合文化研究科, 助教 (00776875)
• 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)