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Title: Variance-based sensitivity analysis applied to the hydrogen migration and redistribution model in Bison. Part II: Uncertainty quantification and optimization

Authors:
; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1529685
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Nuclear Materials
Additional Journal Information:
Journal Name: Journal of Nuclear Materials Journal Volume: 523 Journal Issue: C; Journal ID: ISSN 0022-3115
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Aly, Zineb, Casagranda, Albert, Pastore, Giovanni, and Brown, Nicholas R. Variance-based sensitivity analysis applied to the hydrogen migration and redistribution model in Bison. Part II: Uncertainty quantification and optimization. Netherlands: N. p., 2019. Web. doi:10.1016/j.jnucmat.2019.06.023.
Aly, Zineb, Casagranda, Albert, Pastore, Giovanni, & Brown, Nicholas R. Variance-based sensitivity analysis applied to the hydrogen migration and redistribution model in Bison. Part II: Uncertainty quantification and optimization. Netherlands. https://doi.org/10.1016/j.jnucmat.2019.06.023
Aly, Zineb, Casagranda, Albert, Pastore, Giovanni, and Brown, Nicholas R. Sun . "Variance-based sensitivity analysis applied to the hydrogen migration and redistribution model in Bison. Part II: Uncertainty quantification and optimization". Netherlands. https://doi.org/10.1016/j.jnucmat.2019.06.023.
@article{osti_1529685,
title = {Variance-based sensitivity analysis applied to the hydrogen migration and redistribution model in Bison. Part II: Uncertainty quantification and optimization},
author = {Aly, Zineb and Casagranda, Albert and Pastore, Giovanni and Brown, Nicholas R.},
abstractNote = {},
doi = {10.1016/j.jnucmat.2019.06.023},
journal = {Journal of Nuclear Materials},
number = C,
volume = 523,
place = {Netherlands},
year = {Sun Sep 01 00:00:00 EDT 2019},
month = {Sun Sep 01 00:00:00 EDT 2019}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.jnucmat.2019.06.023

Citation Metrics:
Cited by: 9 works
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