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Uncertainty Quantification for Metamodels.
In the realm of computational science, metamodels serve as indispensable tools for approximating complex systems, facilitating the exploration of scenarios where traditional modelling may prove computationally infeasible. However, the inherent uncertainties within these metamodels, particularly those driven by Machine Learning (ML), necessitate ...Okanik, M. +3 more
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Quantification of Margins and Uncertainties
Reliability Engineering & System Safety, 2011Jon C. Helton, Martin Pilch
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Uncertainty quantification patterns for multiscale models
Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 2021Dongwei Ye +2 more
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Recent progress of uncertainty quantification in small-scale materials science
Progress in Materials Science, 2021exaly
Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation
Symmetry, 2022Chong Wang, Xin Qiang, Menghui Xu
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Combustion kinetic model uncertainty quantification, propagation and minimization
Progress in Energy and Combustion Science, 2015Hai Wang, David A Sheen
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Uncertainty quantification and model validation of fatigue crack growth prediction
Engineering Fracture Mechanics, 2011Shankar Sankararaman +2 more
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Numerical approach for quantification of epistemic uncertainty
Journal of Computational Physics, 2010John D Jakeman +2 more
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