Bayesian inverse uncertainty quantification of a MOOSE-based melt pool model for additive manufacturing using experimental data

Xie, Ziyu; Jiang, Wen; Wang, Congjian; Wu, Xu

doi:10.1016/j.anucene.2021.108782

Title: Bayesian inverse uncertainty quantification of a MOOSE-based melt pool model for additive manufacturing using experimental data

Journal Article · 01 January 2022 · Annals of Nuclear Energy (Oxford)

DOI: https://doi.org/10.1016/j.anucene.2021.108782 · OSTI ID:1830036

Xie, Ziyu; Jiang, Wen; Wang, Congjian; Wu, Xu

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Sponsoring Organization:: USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 1830036

Journal Information:: Annals of Nuclear Energy (Oxford), Journal Name: Annals of Nuclear Energy (Oxford) Journal Issue: C Vol. 165; ISSN 0306-4549

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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