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Model Bias Identification for Bayesian Calibration of Stochastic Digital Twins of Bridges
Applied Stochastic Models in Business and Industry
2024
Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model’s accuracy
Computational Mechanics
2022
Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection
Journal of Computational Physics
2022
111022
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime
Journal of Computational Physics
2019
397
108842
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime
Journal of Computational Physics
2019
Fast uncertainty quantification of activation sequences in patient-specific cardiac electrophysiology meeting clinical time constraints
International Journal for Numerical Methods in Biomedical Engineering
2018
34
7
e2985
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Journal of Computational Physics
2019
Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media
SIAM/ASA Journal on Uncertainty Quantification
2019
7
1
292-323
Physics-Constrained, Data-Driven Discovery of Coarse-Grained Dynamics
Communications in Computational Physics
2019
25
5