Join us for Dr. Tan Bui's seminar hosted by UNC Charlotte's Center for Trustworthy Artificial Intelligence in Model Risk Management (TAIMing AI). 

Abstract:

Digital twins/models (DTs) are designed to be replicas of systems and processes. At the core of a digital twin (DT) are  physical/mathematical models that capture the behavior of the real system across temporal and spatial scales. One of the key roles of DTs is enabling “what if” scenario testing of hypothetical simulations to understand the implications at any point throughout the life cycle of the process, to monitor the process, to calibrate parameters to match the actual process and to quantify the uncertainties. In this talk, we will present various real-time Scientific Deep Learning (SciDL) approaches for forward, inverse/calibration, and UQ problems. Both theoretical and numerical results for various problems including transport, heat, Burgers, (transonic and hypersonic) Euler, and Navier-Stokes equations will be presented.

For more information, or to join our mailing list please email taiming-ai@charlotte.edu