IS13 - I - Machine learning and uncertainty quantification for coupled multi-physics, multi-scale and multi-fidelity modelling
Corresponding Organizer: Dr. Irina Tezaur (Sandia National Laboratories)
Chaired by:
Dr. Cosmin Safta (Sandia National Laboratories , United States)
Dr. Cosmin Safta (Sandia National Laboratories , United States)
Scheduled presentations:
-
A Multi-Fidelity Ensemble Kalman Filter with Adaptive Reduced-Order Models
F. Silva*, C. Pagliantini, K. Veroy -
Non-Intrusive Model Order Reduction for Sintering Applications
R. Dhopeshwar*, H. Bansal, H. Shi, D. Giuntini, K. Veroy -
Multilevel Optimization for Inverse Problems
S. Weissmann, A. Wilson, J. Zech* -
Ensemble Kalman Inversion for reduced Multi-scale Model via Deep-learning
Y. Hong, H. Bansal*, K. Veroy -
Deep learning solvers for predicting alloy microstructure in additive manufacturing
G. Biros*
