110 citations · 472 across the 26 of their papers we have counts for
26 papers
A Community-Developed Domain Ontology for Magnetic Materials
Wilfried Hortschitz, Santa Pile, Claas Fillies +18
Magnetic materials play a crucial role in energy-related technologies, mobility, and sensing, but their complex multiscale behaviour and the coexistence of multiple unit systems po…
Modelling magnetic material properties with uncertainty-aware neural networks
Clemens Wager, Heisam Moustafa, Alexander Kovacs +10
Machine learning is increasingly used to accelerate materials discovery across large compositional and structural design spaces, but limited and heterogeneous data make reliable un…
Tailoring the material properties, nanostructure and grain alignment of Alnico magnets through micromagnetic simulations
Anda Elena Stanciu, Johann Fischbacher, Markus Gusenbauer +9
Alnico magnets have gained renewed interest in the search for rare-earth free permanent magnets due to their high thermal stability and magnetisation. However, the limited coercivi…
Graph Neural Networks to Predict Coercivity of Hard Magnetic Microstructures
Heisam Moustafa, Alexander Kovacs, Johann Fischbacher +5
Graph neural networks (GNN) are a promising tool to predict magnetic properties of large multi-grain structures, which can speed up the search for rare-earth free permanent magnets…
Modeling liquid-mediated interactions for close-to-substrate magnetic microparticle transport in dynamic magnetic field landscapes
Markus Gusenbauer, Rico Huhnstock, Alexander Kovacs +3
Understanding the on-chip motion of magnetic particles in a microfluidic environment is key to realizing magnetic particle-based Lab-on-a-chip systems for medical diagnostics. In t…
Effect of interface on magnetic exchange coupling in Co/Ru/Co trilayer: from ab-initio simulations to micromagnetics
Sergiu Arapan, Jan Priessnitz, Alexander Kovacs +5
Interfaces play a substantial role for the functional properties of structured magnetic materials and magnetic multilayers. Modeling the functional behavior of magnetic materials r…
Physics aware machine learning for micromagnetic energy minimization: recent algorithmic developments
Sebastian Schaffer, Thomas Schrefl, Harald Oezelt +2
In this work, we explore advanced machine learning techniques for minimizing Gibbs free energy in full 3D micromagnetic simulations. Building on Brown's bounds for magnetostatic se…
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…
Exploring the hysteresis properties of nanocrystalline permanent magnets using deep learning
Alexander Kovacs, Lukas Exl, Alexander Kornell +11
We demonstrate the use of model order reduction and neural networks for estimating the hysteresis properties of nanocrystalline permanent magnets from microstructure. With a data-d…
Full-Spin-Wave-Scaled Finite Element Stochastic Micromagnetism: Mesh-Independent FUSSS LLG Simulations of Ferromagnetic Resonance and Reversal
Harald Oezelt, Luman Qu, Alexander Kovacs +11
In this paper, we address the problem that standard stochastic Landau-Lifshitz-Gilbert (sLLG) simulations typically produce results that show unphysical mesh-size dependence. The r…
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…
Computational Design of the Rare-Earth Reduced Permanent Magnets
A. Kovacs, J. Fischbacher, M. Gusenbauer +6
Multiscale simulation is a key research tool for the quest for new permanent magnets. Starting with first principles methods, a sequence of simulation methods can be applied to cal…
Micromagnetics of rare-earth efficient permanent magnets
Johann Fischbacher, Alexander Kovacs, Markus Gusenbauer +4
The development of permanent magnets containing less or no rare-earth elements is linked to profound knowledge of the coercivity mechanism. Prerequisites for a promising permanent…
Learning magnetization dynamics
Alexander Kovacs, Johann Fischbacher, Harald Oezelt +5
Deep neural networks are used to model the magnetization dynamics in magnetic thin film elements. The magnetic states of a thin film element can be represented in a low dimensional…
The influence of antiphase boundary of the MnAl -phase on the energy product
S. Arapan, P. Nieves, S. Cuesta-López +6
In this work we use a multiscale approach toward a realistic design of a permanent magnet based on MnAl -phase and elucidate how the antiphase boundary defects present in this m…
Magnetic microstructure machine learning analysis
Lukas Exl, Johann Fischbacher, Alexander Kovacs +6
We use a machine learning approach to identify the importance of microstructure characteristics in causing magnetization reversal in ideally structured large-grained NdFe$_{14}…
On the limits of coercivity in permanent magnets
J. Fischbacher, A. Kovacs, H. Oezelt +14
The maximum coercivity that can be achieved for a given hard magnetic alloy is estimated by computing the energy barrier for the nucleation of a reversed domain in an idealized mic…
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…
Conjugate gradient methods in micromagnetics
J. Fischbacher, A. Kovacs, H. Oezelt +9
Conjugate gradient methods for energy minimization in micromagnetics are compared. When the step length in the line search is controlled, conjugate gradient techniques are a fast a…
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…
Thermal activation in permanent magnets
Simon Bance, Johann Fischbacher, Alexander Kovacs +3
The coercive field of permanent magnets decays with temperature. At non-zero temperature the system can overcome a finite energy barrier through thermal fluctuations. Using finite…
Influence of defect thickness on the angular dependence of coercivity in rare-earth permanent magnets
Simon Bance, Harald Oezelt, Thomas Schrefl +12
The coercive field and angular dependence of the coercive field of single-grain NdFeB permanent magnets are computed using finite element micromagnetics. It is shown t…
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…