3 papers
cond-mat.str-el2026
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…
cond-mat.mtrl-sci2024
Discretization anisotropy in micromagnetic simulations
Samuel J. R. Holt, Andrea Petrocchi, Martin Lang +2
Finite difference based micromagnetic simulations are a powerful tool for the computational investigation of magnetic structures. In this paper, we demonstrate how the discretizati…
physics.comp-ph2024
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…