多目的最適化と統計的機械学習のハイブリッドによる核融合炉プラズマ予測の加速

• Project/Area Number: 25K00981
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 14020:Nuclear fusion-related
• Research Institution: Kyoto University
• Principal Investigator: 本多 充 京都大学, 工学研究科, 教授 (90455296)
• Project Period (FY): 2025-04-01 – 2029-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥24,830,000 (Direct Cost: ¥19,100,000、Indirect Cost: ¥5,730,000); Fiscal Year 2028: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000); Fiscal Year 2027: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000); Fiscal Year 2026: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000); Fiscal Year 2025: ¥15,340,000 (Direct Cost: ¥11,800,000、Indirect Cost: ¥3,540,000)