"UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty ..."

Jess D. Tate et al. (2023)

> Home

Details and statistics

DOI: 10.21105/JOSS.04249

access: open

type: Journal Article

metadata version: 2023-11-28

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jossw/TateLBRWCRBMN23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jossw/TateLBRWCRBMN23
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:
UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines. J. Open Source Softw. 8(90): 4249 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.