The immersed boundary method: A projection approach
2007 · Journal of Computational Physics · 643 citations
https://doi.org/10.1016/j.jcp.2007.03.005
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Kunihiko Taira
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285
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h-index
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Kunihiko Taira is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Fluid Dynamics and Turbulent Flows & Fluid Dynamics and Vibration Analysis & Model Reduction and Neural Networks. The author has an h-index of 36, co-authored 243 publications.
ORCID: 0000-0002-3762-8075Papers by this author
worksSingle-snapshot machine learning for super-resolution of turbulence
2024 · Journal of Fluid Mechanics · 26 citations
https://doi.org/10.1017/jfm.2024.1136
Aerodynamics-guided machine learning for design optimization of electric vehicles
2024 · Communications Engineering · 24 citations
https://doi.org/10.1038/s44172-024-00322-0
Sparsification of long range force networks for molecular dynamics simulations
2019 · PLoS ONE · 3 citations
https://doi.org/10.1371/journal.pone.0213262
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
Hierarchical equivariant graph neural networks for forecasting collective motion in vortex clusters and microswimmers
2025 · Communications Physics · 0 citations
https://doi.org/10.1038/s42005-025-02417-2
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