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A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations
Computer Methods in Applied Mechanics and Engineering
2022
400
115600
Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model’s accuracy
Computational Mechanics
2022
70
6
1189-1210
A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations
Computer Methods in Applied Mechanics and Engineering
2022
400
115600
Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model’s accuracy
Computational Mechanics
2022
Self-supervised optimization of random material microstructures in the small-data regime
npj Computational Materials
2022
8
1
Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection
Journal of Computational Physics
2022
111022