Clemson University’s Office of the Provost and the College of Engineering, Computing and Applied Sciences will host George Em Karniadakis as a Provost Distinguished Lecturer on Thursday, January 30.

Karniadakis is the Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineering at Brown University. 

From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?

The presentation will review physics-informed neural networks (NNs) and summarize available extensions for applications in computational science and engineering. The lecture will also introduce new NNs that learn functionals and nonlinear operators from functions and corresponding responses for system identification.

These two key developments have formed the backbone of scientific machine learning that has disrupted the path of computational science and engineering and has created new opportunities for all scientific domains. Finally, Karniadakis will discuss opportunities in digital twins, autonomy, materials discovery and others.