トポロジー最適化及び機械学習（生成モデル）を用いた新しい船体構造創出手法の研究

• Project/Area Number: 25K01430
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 24020:Marine engineering-related
• Research Institution: Yokohama National University
• Principal Investigator: 川村 恭己 横浜国立大学, 大学院工学研究院, 教授 (50262407)
• 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: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000); Fiscal Year 2026: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000); Fiscal Year 2025: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000)