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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

Project/Area Number 25H01144
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section一般
Review Section Medium-sized Section 61:Human informatics and related fields
Research InstitutionKyoto 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)

URL: 

Published: 2025-04-17  

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