Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1557879
- Grant/Contract Number:
- NE0008530
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Nuclear Engineering and Design
- Additional Journal Information:
- Journal Name: Nuclear Engineering and Design Journal Volume: 354 Journal Issue: C; Journal ID: ISSN 0029-5493
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
Citation Formats
Liu, Yang, Sun, Xiaodong, and Dinh, Nam T. Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments. Netherlands: N. p., 2019.
Web. doi:10.1016/j.nucengdes.2019.110200.
Liu, Yang, Sun, Xiaodong, & Dinh, Nam T. Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments. Netherlands. https://doi.org/10.1016/j.nucengdes.2019.110200
Liu, Yang, Sun, Xiaodong, and Dinh, Nam T. Sun .
"Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments". Netherlands. https://doi.org/10.1016/j.nucengdes.2019.110200.
@article{osti_1557879,
title = {Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments},
author = {Liu, Yang and Sun, Xiaodong and Dinh, Nam T.},
abstractNote = {},
doi = {10.1016/j.nucengdes.2019.110200},
journal = {Nuclear Engineering and Design},
number = C,
volume = 354,
place = {Netherlands},
year = {2019},
month = {12}
}
Free Publicly Available Full Text
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https://doi.org/10.1016/j.nucengdes.2019.110200
https://doi.org/10.1016/j.nucengdes.2019.110200
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Cited by: 2 works
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