122 citations · 379 across the 12 of their papers we have counts for
12 papers
Impact of Lattice Distortions on Magnetocrystalline Anisotropy and Magnetization in (NdPr)FeB Alloys
Haruki Okumura, Takashi Miyake, Taro Fukazawa +6
NdFeB -- a widely used permanent magnet -- has magnetocrystalline anisotropy constants that differ between the bulk and interface regions. This study explores the effe…
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…
Data Assimilation Method for Experimental and First-Principles Data: Finite-Temperature Magnetization of (Nd,Pr,La,Ce)(Fe,Co,Ni)B
Yosuke Harashima, Keiichi Tamai, Shotaro Doi +8
We propose a data-assimilation method for evaluating the finite-temperature magnetization of a permanent magnet over a high-dimensional composition space. Based on a general framew…
Optimal uni-axial ferromagnetism in (La,Ce)FeB for permanent magnets
Munehisa Matsumoto, Masaaki Ito, Noritsugu Sakuma +3
Prospects for light-rare-earth-based permanent magnet compound RFeB (R=LaCe with ) are inspected from first principles referring to the lat…
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…
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…
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…
Grain-size dependent demagnetizing factors in permanent magnets
Simon Bance, Bernhard Seebacher, Thomas Schrefl +10
The coercive field of permanent magnets decreases with increasing grain size. The grain size dependence of coercivity is explained by a size dependent demagnetizing factor. In Dy f…