MS132A Recent Advances in Data-Driven Modeling and Uncertainty Quantification of Complex Dynamical Systems I
MS Corresponding Organizer: Dr. Sourav Dutta (The University of Texas at Austin)
Chaired by:
Dr. Matthew Farthing (Engineer Research and Development Center , United States)
Dr. Matthew Farthing (Engineer Research and Development Center , United States)
Scheduled presentations:
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Data-driven Modeling of Multi-physics Coastal Hydrodynamics using a Deep Neural Operator Framework
S. Dutta*, P. Rivera-Casillas, M. Loveland, J. Lee, M. Farthing, C. Dawson -
Transfer learning for inversion of multi-fidelity data in subsurface hydrology
A. Chiofalo*, V. Ciriello, D. Tartakovsky -
Multifidelity scientific machine learning
A. Howard, W. Chen, S. Ahmed, P. Stinis* -
Machine Learning-Aided Extended Drag-Based Model to Improve the Estimate of CMEs’ Travel Time
M. Rossi*, S. Guastavino
