Key points are not available for this paper at this time.
This video discusses the second stage of the machine learning process: (2) collecting and curating training data to inform the model. There are opportunities to incorporate physics into this stage of the process, such as data augmentation to incorporate known symmetries.
Steven L. Brunton (Fri,) studied this question.