Mathematical and Computational Foundations for Predictive Digital Twins at Scale

Karen Willcox

Oden Institute, University of Texas at Austin

Digital twins represent the next frontier in the impact of computational science on grand challenges across science, technology and society. A digital twin is a computational model or set of coupled models that evolves over time to persistently represent the structure, behavior, and context of a unique physical system, process, or biological entity. This talk will highlight progress and opportunities in achieving robust, reliable digital twins at scale, including the important role of graphical models, reduced-order modeling, scientific machine learning, and uncertainty quantification.