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Kai Fukami Research Group

Extracting causal relationships in unsteady aerodynamic flows with information-theoretic machine learning

  • Grant-in-Aid for Scientific Research B (Number 26K01129)

  • PI: Kai Fukami, Co-investigator: Ryo Araki

  • Project term: 2026/4/1-2029/3/31

  • Budget: ¥ 18,330,000

Publications

FY2026

  1. TBA

Conference Talks

FY2026

  1. J. Jang, J. Kang, K. Fukami, J. Jeon, S. Lee, “Energy Dissipation Model: Physics-oriented predictive model via progressive frequency refinement," in the 2026 Spring Meeting of the Korean Society for Computational Fluid Engineering, Jecheon, South Korea, April 2026

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