Scientific Machine Learning: Where Physics-based Modeling Meets Data-driven Learning

Karen Willcox, University of Texas at Austin; SFI Scientific machine learning is an emerging research area focused on the opportunities and challenges of machine learning in the context of complex applications across science, engineering, and medicine. The most pressing problems in these application areas have attributes that make them very different in nature to computer science applications where data-driven machine learning has found success. They are problems for which black-box methods based on data a