1. Prediction of aerodynamic flow fields using convolutional neural networks;Bhatnagar;Comput. Mech.,2019
2. Model reduction and neural networks for parametric PDEs;Bhattacharya;SMAI J. Comput. Math.,2021
3. Bischof, R. & Kraus, M. 2021. Multi-objective loss balancing for physics-informed deep learning. arXiv preprint arXiv:2110.09813.
4. Computational Fluid Dynamics: Principles and Applications;Blazek,2015
5. Bullwinkel, B., Randle, D., Protopapas, P. & Sondak, D. 2022. Deqgan: Learning the loss function for pinns with generative adversarial networks. arXiv preprint arXiv:2209.07081.