Paper on machine learning error models published in CMAME
Using regression to model approximate-solution errors
My paper with Brian Freno on machine-learning error models has been published in Computer Methods for Applied Mechanics in Engineering .
Kevin T. Carlberg
Affiliate Associate Professor of Applied Mathematics and Mechanical Engineering
My research combines machine learning, computational physics, and high-performance computing. The objective is to discover structure in data to drastically reduce the cost of simulating nonlinear dynamical systems at extreme scale. I also work on technologies that enable the future of virtual and augmented reality.