64 citations · 185 across the 14 of their papers we have counts for
15 papers
Transition-Metal-Induced Uniaxial Anisotropy in YFe
M. Nur Hasan, Bruno L. Fertig, Santa Pile +13
Achieving uniaxial magnetocrystalline anisotropy while preserving high magnetization and thermal stability remains a central challenge in the development of Fe-rich permanent magne…
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…
Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties
Samuel J. R. Holt, Christina Winkler, Timoteo Colnaghi +7
Predicting the extrinsic properties from hysteresis loops of a magnetic grain, namely the coercive field, remanent magnetisation, and maximum energy product, from its intrinsic mic…
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…
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…
Realization of inverse-design magnonic logic gates
Noura Zenbaa, Fabian Majcen, Claas Abert +6
Magnonic logic gates represent a crucial step toward realizing fully magnonic data processing systems without reliance on conventional electronic or photonic elements. Recently, a…
Remote-sensing based control of 3D magnetic fields using machine learning for in-operando applications
Miguel A. Cascales Sandoval, J. Jurczyk, L. Skoric +6
In-operando techniques enable real-time measurement of intricate physical properties at the micro- and nano-scale under external stimuli, allowing the study of a wide range of mate…
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…
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…
Database of novel magnetic materials for high-performance permanent magnet development
P. Nieves, S. Arapan, J. Maudes +16
This paper describes the open Novamag database that has been developed for the design of novel Rare-Earth free/lean permanent magnets. The database software technologies, its frien…
Searching the weakest link: Demagnetizing fields and magnetization reversal in permanent magnets
J. Fischbacher, A. Kovacs, L. Exl J. Kühnel +5
Magnetization reversal in permanent magnets occurs by the nucleation and expansion of reversed domains. Micromagnetic theory offers the possibility to localize the spots within the…
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…
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…