Master Thesis: Unsupervised Learning of a Dynamic Surrogate Model using DAE-PINNs applied to a dynamic flash model
in Physics-Informed Neural Networks,” SIAM J. Sci. Comput., vol. 43, no. 5, pp. A3055–A3081, Jan. 2021, doi: 10.1137/20M1318043. [5] M. Raissi, P. Perdikaris, and G. E. Karniadakis, “Physics-informed neural [...] They utilize physically derived equations and solve them according to different solution schemes [3]–[5]. They show good generalization capabilities and can be completely trained in an unsupervised fashion …
