Single-snapshot machine learning for super-resolution of turbulence
2024 · Journal of Fluid Mechanics · 26 citations
https://doi.org/10.1017/jfm.2024.1136
K
Kai Fukami
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Kai Fukami is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Fluid Dynamics and Turbulent Flows & Model Reduction and Neural Networks & Aerodynamics and Acoustics in Jet Flows. The author has an h-index of 21, co-authored 58 publications.
ORCID: 0000-0002-1381-7322Papers by this author
worksAerodynamics-guided machine learning for design optimization of electric vehicles
2024 · Communications Engineering · 24 citations
https://doi.org/10.1038/s44172-024-00322-0
Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control
2025 · Fluid Dynamics Research · 12 citations
https://doi.org/10.1088/1873-7005/ade8a2
Model Order Reduction with Neural Networks: Application to Laminar and Turbulent Flows
2021 · SN Computer Science · 3 citations
https://doi.org/10.1007/s42979-021-00867-3
Phase autoencoder for rapid data-driven synchronization of rhythmic spatiotemporal patterns
2025 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2506.12777
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