新規物質発見のための機械学習ポテンシャルを用いた結晶構造探索及び安定相の評価

• Project/Area Number: 25KJ1602
• Research Category: Grant-in-Aid for JSPS Fellows
• Allocation Type: Multi-year Fund
• Section: 国内
• Review Section: Basic Section 26010:Metallic material properties-related
• Research Institution: Kyoto University
• Principal Investigator: 若井 颯音 京都大学, 工学研究科, 特別研究員(DC2)
• Project Period (FY): 2025-04-22 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥1,600,000 (Direct Cost: ¥1,600,000); Fiscal Year 2026: ¥500,000 (Direct Cost: ¥500,000); Fiscal Year 2025: ¥1,100,000 (Direct Cost: ¥1,100,000)