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cs.LG2021
Conditional physics informed neural networks
Alexander Kovacs, Lukas Exl, Alexander Kornell +11
We introduce conditional PINNs (physics informed neural networks) for estimating the solution of classes of eigenvalue problems. The concept of PINNs is expanded to learn not only…
physics.comp-ph2021
Machine learning methods for the prediction of micromagnetic magnetization dynamics
Sebastian Schaffer, Norbert J. Mauser, Thomas Schrefl +2
Machine learning (ML) entered the field of computational micromagnetics only recently. The main objective of these new approaches is the automatization of solutions of parameter-de…