PGML
This repository contains codes related to our work on physics-guided machine learning applied to real-time aerodynamic forces prediction task.
Published Journals
For more details on this work, please refer https://arxiv.org/abs/2012.13343
Acknowledgment:
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research under Award No. DE-SC0019290. O.S. gratefully acknowledges their support.