量子論に基づいたスピン‐原子ダイナミクス連成機械学習ポテンシャル構築手法の確立

• Project/Area Number: 25K01491
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 26010:Metallic material properties-related
• Research Institution: College of Industrial Technology
• Principal Investigator: 森 英喜 産業技術短期大学, その他部局等, 准教授 (00456998)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥18,720,000 (Direct Cost: ¥14,400,000、Indirect Cost: ¥4,320,000); Fiscal Year 2027: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000); Fiscal Year 2026: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000); Fiscal Year 2025: ¥11,960,000 (Direct Cost: ¥9,200,000、Indirect Cost: ¥2,760,000)