A methodology for uncertainty quantification and sensitivity analysis for responses subject to Monte Carlo uncertainty with application to fuel plate characteristics in the ATRC
Author:
Funder
Office of Nuclear Energy
U.S. Department of Energy
Publisher
Elsevier BV
Subject
Nuclear Energy and Engineering
Reference21 articles.
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2. Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling;Radaideh;Int. J. Energy Res.,2019
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4. Uncertainty propagation with fast Monte Carlo techniques;Rochman;Nucl. Data Sheets,2014
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