深層学習を用いた偏微分方程式の新しい数値計算法

• Project/Area Number: 25K17293
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 12040:Applied mathematics and statistics-related
• Research Institution: University of Toyama
• Principal Investigator: 内藤 颯海 富山大学, 学術研究部社会科学系, 講師 (50997111)
• Project Period (FY): 2025-04-01 – 2030-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2029: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000); Fiscal Year 2028: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2027: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000); Fiscal Year 2026: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000); Fiscal Year 2025: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)