Discovery of Physics from Data: Universal Laws and Discrepancies

1 code implementation • 19 Jun 2019 • Brian M. de Silva, David M. Higdon, Steven L. Brunton, J. Nathan Kutz

Machine learning (ML) and artificial intelligence (AI) algorithms are now being used to automate the discovery of physics principles and governing equations from measurement data alone.

Calibration of Computational Models with Categorical Parameters and Correlated Outputs via Bayesian Smoothing Spline ANOVA

no code implementations • 21 May 2014 • Curtis B. Storlie, William A. Lane, Emily M. Ryan, James R. Gattiker, David M. Higdon

It has become commonplace to use complex computer models to predict outcomes in regions where data does not exist.

Methodology