Paper on machine learning error models published in CMAME

Using regression to model approximate-solution errors

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.

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Kevin T. Carlberg
Distinguished Member of Technical Staff

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.