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Students showcasing research posters at the 2015 GCEP Symposium

ERE Seminar: Nicholas Zabaras, PhD, University of Notre Dame — Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data

February 11, 2019 - 12:30pm to 1:30pm
Room 104, Green Earth Sciences Building, 367 Panama Street, Stanford
Event Sponsor: 
Energy Resources Engineering
Contact Email: 
lnroman@stanford.edu

TitlePhysics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data

Nicholas Zabaras, PhDViola D. Hank Professor of Computational Science and EngineeringAbstractSurrogate modeling and uncertainty quantification tasks for systems governed by PDEs are most often considered as supervised learning problems where input

Contact Phone: 
650.725.9835