JSFM Annual Meeting 2026
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Analysis, prediction, and controlAnalysis, prediction, and control : AI and fluid dynamics

AI and fluid dynamics

Fri. Sep 25, 2026 8:40 AM - 10:40 AM JST
Fri. Sep 25, 2026 11:40 PM - 1:40 AM UTC
Room H(C3 Building, Room 301)
Chair:Taku Nonomura(Nagoya University)
8:40 AM - 9:00 AM JST(11:40 PM - 12:00 AM UTC)Award candidate

[H4-01]Snapshot Generation with Physics-Informed Diffusion Model

*Akira Osaka1, Naoya Takeishi1, Takehisa Yairi1 (1. The University of Tokyo)
9:00 AM - 9:20 AM JST(12:00 AM - 12:20 AM UTC)

[H4-02]High-Fidelity Turbulent Flow Reconstruction from Unpaired Multisource Data Using Diffusion Models

*Golsa Tabe Jamaat1, Takayuki Okatani1, Kai Fukami1 (1. Tohoku University)
9:20 AM - 9:40 AM JST(12:20 AM - 12:40 AM UTC)Award candidate

[H4-03]Diffusion Model-Based State Estimation for Unseen Geometric Conditions

*Kota Matsushima1, Naoya Takeishi1, Masahito Akamine1, Takehisa Yairi1 (1. Tokyo University)
9:40 AM - 10:00 AM JST(12:40 AM - 1:00 AM UTC)

[H4-04]Library learning-based denoising for fluid flow measurements with extremely large corruption

Pablo Koop1,2, Isabel Scherl3, *Kai Fukami1 (1. Tohoku University, 2. Delft University of Technology, 3. University of Massachusetts Amherst)
10:00 AM - 10:20 AM JST(1:00 AM - 1:20 AM UTC)Award candidate

[H4-05]Application of Simulation-based Inference to Density Field Reconstruction in 3D-BOS

*Ryuku Oki1, Masahito Akamine1, Susumu Teramoto1, Naoya Takeishi1 (1. The University of Tokyo)
10:20 AM - 10:40 AM JST(1:20 AM - 1:40 AM UTC)

[H4-06]Evolutional machine learning-assisted data assimilation for sparse sensor reconstruction of transient flows

*Kodai Nagano1, Ryo Koshikawa1, Yifan Du2, Kai Fukami1 (1. Tohoku University, 2. University of Michigan)
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