PGML

This repository contains codes related to our work on physics-guided machine learning applied to real-time aerodynamic forces prediction task.

Published manuscript

For more details on this work, please refer to below articles:

1. Physics guided machine learning using simplified theories (https://aip.scitation.org/doi/10.1063/5.0038929)
2. Model fusion with physics-guided machine learning: Projection-based reduced-order modeling (https://aip.scitation.org/doi/abs/10.1063/5.0053349)
3. Multi-fidelity information fusion with concatenated neural networks (https://arxiv.org/abs/2110.04170)

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.