UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines

Jess D. Tate, Zexin Liu, Jake A. Bergquist, Sumientra Rampersad, Dan White, Chantel Charlebois, Lindsay C. Rupp, Dana H. Brooks, Rob S. MacLeod, Akil Narayan 0001. UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines. J. Open Source Software, 8(90):4249, October 2023. [doi]

@article{TateLBRWCRBMN23,
  title = {UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines},
  author = {Jess D. Tate and Zexin Liu and Jake A. Bergquist and Sumientra Rampersad and Dan White and Chantel Charlebois and Lindsay C. Rupp and Dana H. Brooks and Rob S. MacLeod and Akil Narayan 0001},
  year = {2023},
  month = {October},
  doi = {10.21105/joss.04249},
  url = {https://doi.org/10.21105/joss.04249},
  researchr = {https://researchr.org/publication/TateLBRWCRBMN23},
  cites = {0},
  citedby = {0},
  journal = {J. Open Source Software},
  volume = {8},
  number = {90},
  pages = {4249},
}