ディープラーニングとガウス過程を融合したベイズ最適化による材料探索手法の開発

• Project/Area Number: 25K17824
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 26020:Inorganic materials and properties-related
• Research Institution: Tohoku University
• Principal Investigator: 清原 慎 東北大学, 金属材料研究所, 助教 (20971881)
• Project Period (FY): 2025-04-01 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2026: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2025: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)