Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil. Sundar, R., Majumdar, D., Lucor, D., & Sarkar, S. CoRR, 2023.
Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil. [link]Link  Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil. [link]Paper  bibtex   
@article{journals/corr/abs-2306-13395,
  added-at = {2025-03-03T00:00:00.000+0100},
  author = {Sundar, Rahul and Majumdar, Dipanjan and Lucor, Didier and Sarkar, Sunetra},
  biburl = {https://www.bibsonomy.org/bibtex/25debecfd3d811b9693f97585114292f3/dblp},
  ee = {https://doi.org/10.48550/arXiv.2306.13395},
  interhash = {5744049ee2bfab0b6d0945993061b1ee},
  intrahash = {5debecfd3d811b9693f97585114292f3},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2025-04-01T15:37:22.000+0200},
  title = {Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr2306.html#abs-2306-13395},
  volume = {abs/2306.13395},
  year = 2023
}

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