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

Jess Tate; Zexin Liu; Jake A. Bergquist; Sumientra Rampersad; Dan White; Chantel Charlebois; Lindsay Rupp; Dana H. Brooks; Rob S. MacLeod; Akil Narayan

doi:10.21105/joss.04249

Review

Editor: @kellyrowland (all papers)
Reviewers: @shahmoradi (all reviews), @RichardClayton (all reviews), @kellyrowland (all reviews)

Authors

Jess Tate (0000-0002-2934-1453), Zexin Liu (0000-0003-3409-5709), Jake A. Bergquist (0000-0002-4586-6911), Sumientra Rampersad (0000-0001-9860-4459), Dan White, Chantel Charlebois (0000-0002-4139-3539), Lindsay Rupp (0000-0002-2688-7688), Dana H. Brooks (0000-0003-3231-6715), Rob S. MacLeod (0000-0002-0000-0356), Akil Narayan (0000-0002-5914-4207)

Citation

Tate et al., (2023). UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines. Journal of Open Source Software, 8(90), 4249, https://doi.org/10.21105/joss.04249

@article{Tate2023, doi = {10.21105/joss.04249}, url = {https://doi.org/10.21105/joss.04249}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {90}, pages = {4249}, author = {Tate, Jess and Liu, Zexin and Bergquist, Jake A. and Rampersad, Sumientra and White, Dan and Charlebois, Chantel and Rupp, Lindsay and Brooks, Dana H. and MacLeod, Rob S. and Narayan, Akil}, title = {UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines}, journal = {Journal of Open Source Software} }

Copy citation string · Copy BibTeX