Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems

Author(s)

Dan Gabriel Cacuci, University of South CarolinaFollow

Document Type

Article

Digital Object Identifier (DOI)

https://doi.org/10.3390/en15176466

Publication Info

Published in Energies, Volume 15, Issue 17, 2022, pages 6466-.

Rights

© 2022 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

APA Citation

Cacuci, D. G. (2022). Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems. Energies, 15(17), 6466. https://doi.org/10.3390/en15176466