Bayesian optimization approach to quantify the effect of input parameter uncertainty on predictions of numerical physics simulations.
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| Title: | Bayesian optimization approach to quantify the effect of input parameter uncertainty on predictions of numerical physics simulations. |
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| Authors: | McCallum, Samuel G.1, Lerpinière, James E.1, Jensen, Kjeld O.2, Friederich, Pascal3,4 pascal.friederich@kit.edu, Walker, Alison B.1 pascal.friederich@kit.edu |
| Source: | APL Machine Learning. Dec2023, Vol. 1 Issue 4, p1-7. 7p. |
| Database: | Academic Search Ultimate |
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| DOI: | 10.1063/5.0151747 |
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