197 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ViennaAT19 papers
- TU WienAT12 papers
- Wolfgang Pauli InstituteAT9 papers
- University of Applied Sciences St PöltenAT8 papers
- Toyota Motor Corporation (Japan)JP6 papers
- Christian Doppler Laboratory for ThermoelectricityAT5 papers
- University of ExeterGB4 papers
- Austrian Center for Medical Innovation and TechnologyAT3 papers
- Danube Private UniversityAT3 papers
- Infineon Technologies (Austria)AT3 papers
- Technische Universität BerlinDE3 papers
- Universidad de BurgosES3 papers
15 papers · 1 filter
NeuralMag: an open-source nodal finite-difference code for inverse micromagnetics
Claas Abert, Florian Bruckner, Andrey Voronov +11
We present NeuralMag, a flexible and high-performance open-source Python library for micromagnetic simulations. NeuralMag leverages modern machine learning frameworks, such as PyTo…
Physics-informed machine learning and stray field computation with application to micromagnetic energy minimization
Sebastian Schaffer, Thomas Schrefl, Harald Oezelt +5
We study the full 3d static micromagnetic equations via a physics-informed neural network (PINN) ansatz for the continuous magnetization configuration. PINNs are inherently mesh-fr…
Proposal for a micromagnetic standard problem: domain wall pinning at phase boundaries
Paul Heistracher, Claas Abert, Florian Bruckner +2
We propose a novel micromagnetic standard problem calculating the coercive field for unpinning a domain wall at the interface of a multiphase magnet. This problem is sensitive to d…
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…
Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method
Lukas Exl, Norbert J. Mauser, Sebastian Schaffer +2
We establish a machine learning model for the prediction of the magnetization dynamics as function of the external field described by the Landau-Lifschitz-Gilbert equation, the par…
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…
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…
Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization
Lukas Exl, Johann Fischbacher, Alexander Kovacs +3
Fast computation of demagnetization curves is essential for the computational design of soft magnetic sensors or permanent magnet materials. We show that a sparse preconditioner fo…
The extrapolated explicit midpoint scheme for variable order and step size controlled integration of the Landau-Lifschitz-Gilbert equation
Lukas Exl, Norbert J. Mauser, Thomas Schrefl +1
A practical and efficient scheme for the higher order integration of the Landau-Lifschitz-Gilbert (LLG) equation is presented. The method is based on extrapolation of the two-step…
Transition Jitter in Heat Assisted Magnetic Recording by Micromagnetic Simulation
Harald Oezelt, Alexander Kovacs, Johann Fischbacher +3
In this paper we apply an extended Landau-Lifschitz equation, as introduced by Baňas et al. for the simulation of heat-assisted magnetic recording. This equation has similarities w…
Micromagnetic Simulations for Coercivity Improvement through Nano-Structuring of Rare-Earth Free L1-FeNi Magnets
Alexander Kovacs, Johann Fischbacher, Harald Oezelt +6
In this work we investigate the potential of tetragonal L1 ordered FeNi as candidate phase for rare earth free permanent magnets taking into account anisotropy values from rece…
Switching field distribution of exchange coupled ferri-/ferromagnetic composite bit patterned media
Harald Oezelt, Alexander Kovacs, Johann Fischbacher +6
We investigate the switching field distribution and the resulting bit error rate of exchange coupled ferri-/ferromagnetic bilayer island arrays by micromagnetic simulations. Using…
Micromagnetic simulation of exchange coupled ferri-/ferromagnetic composite in bit patterned media
Harald Oezelt, Alexander Kovacs, Phillip Wohlhüter +6
Ferri-/ferromagnetic exchange coupled composites are promising candidates for bit patterned media because of the ability to control the magnetic properties of the ferrimagnet by it…
Numerical optimization of writer and media for bit patterned magnetic recording
A. Kovacs, H. Oezelt, M. E. Schabes +1
In this work we present a micromagnetic study of the performance potential of bit-patterned (BP) magnetic recording media via joint optimization of the design of the media and of t…
A Device model for xMR Sensors based on the Stoner-Wohlfarth model
Florian Bruckner, Bernhard Bergmair, Hubert Brueckl +4
The Stoner-Wohlfarth model provides an efficient analytical model to describe the behavior of magnetic layers within xMR sensors. Combined with a proper description of magneto-resi…