233 citations · 1.7k across the 63 of their papers we have counts for
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physics.comp-ph2019★ 36 cited
Extracting local switching fields in permanent magnets using machine learning
Markus Gusenbauer, Harald Oezelt, Johann Fischbacher +4
Microstructural features play an important role for the quality of permanent magnets. The coercivity is greatly influenced by crystallographic defects, which is well known for MnAl…
physics.comp-ph2019★ 9 cited
Learning time-stepping by nonlinear dimensionality reduction to predict magnetization dynamics
Lukas Exl, Norbert J. Mauser, Thomas Schrefl +1
We establish a time-stepping learning algorithm and apply it to predict the solution of the partial differential equation of motion in micromagnetism as a dynamical system dependin…