Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks

Nicholas Geneva, Nicholas Zabaras. Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks. J. Comput. Physics, 383:125-147, 2019. [doi]

@article{GenevaZ19,
  title = {Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks},
  author = {Nicholas Geneva and Nicholas Zabaras},
  year = {2019},
  doi = {10.1016/j.jcp.2019.01.021},
  url = {https://doi.org/10.1016/j.jcp.2019.01.021},
  researchr = {https://researchr.org/publication/GenevaZ19},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Physics},
  volume = {383},
  pages = {125-147},
}