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20112026
most citedMicromagnetics of rare-earth efficient permanent magnets

110 citations · 472 across the 26 of their papers we have counts for

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14 papers · 1 filter

cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2025

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…

cond-mat.mtrl-sci2022

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…

cond-mat.mtrl-sci2019★ 4 cited

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…

cond-mat.mtrl-sci2019★ 110 cited

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…

cond-mat.mtrl-sci2019★ 22 cited

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…

cond-mat.mtrl-sci2019★ 3 cited

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…

cond-mat.mtrl-sci2018★ 15 cited

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}…

cond-mat.mtrl-sci2017★ 38 cited

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…

cond-mat.mtrl-sci2017★ 54 cited

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…

cond-mat.mtrl-sci2016★ 51 cited

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…

cond-mat.mtrl-sci2016★ 73 cited

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…