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グラフ深層学習による超高速物理シミュレーションの実現:システム生物学への展開
Research Project
All
Fiscal Year 2025
grantAwardInfo
Project/Area Number
25H01144
Research Category
Grant-in-Aid for Scientific Research (A)
Allocation Type
Single-year Grants
Section
一般
Review Section
Medium-sized Section 61:Human informatics and related fields
Research Institution
Kyoto University
Principal Investigator
馬見塚 拓
京都大学, 化学研究所, 教授 (00346107)
Project Period (FY)
2025-04-01 – 2030-03-31
Project Status
Adopted (Fiscal Year 2025)
Budget Amount
*help
¥45,630,000 (Direct Cost: ¥35,100,000、Indirect Cost: ¥10,530,000)
Fiscal Year 2025: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)