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Karen Willcox, University of Texas at Austin; SFI Scientific Uncertainty quantification (UQ) is essential for reliable scientific Joint work with Nathan Kutz: Discovering physical laws and ... This video provides a brief recap of this introductory series on Talk given at the University of Washington on 6/7/19 for the

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Discrepancy Modeling with Physics Informed Machine Learning

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AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]

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Data-driven model discovery: Targeted use of deep neural networks for physics and engineering

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AI/ML+Physics Part 5: Employing an Optimization Algorithm [Physics Informed Machine Learning]

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Last Updated: May 24, 2026

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