110 citations · 155 across the 6 of their papers we have counts for
4 papers · 1 filter
Description of collective magnetization processes with machine learning models
Alexander Kornell, Lukas Exl, Leoni Breth +11
This work introduces a latent space method to calculate the demagnetization reversal process of multigrain permanent magnets. The algorithm consists of two deep learning models bas…
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…
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…
Numerical optimization of writer geometries for bit patterned magnetic recording
A. Kovacs, H. Oezelt, S. Bance +6
A fully-automated pole-tip shape optimization tool, involving write head geometry construction, meshing, micromagnetic simulation and evaluation, is presented. Optimizations have b…