Key points are not available for this paper at this time.
This video discusses the fourth stage of the machine learning process: (4) designing a loss function to assess the performance of the model. There are opportunities to incorporate physics into this stage of the process, such as adding regularization terms to promote sparsity or extra loss functions to ensure that a partial differential equation is satisfied, as in PINNs.
Steven L. Brunton (Fri,) studied this question.