Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification
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Publication:6609828
DOI10.1016/j.cma.2024.117314MaRDI QIDQ6609828
Himanshu Sharma, Michael D. Shields, Lukáš Novák
Publication date: 24 September 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
machine learninguncertainty quantificationsurrogate modelpolynomial chaos expansionphysical constraints
Learning and adaptive systems in artificial intelligence (68T05) Stochastic particle methods (65C35)
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