2024/11/27 by Lars Moreels, Ian Lateur, Moreels, Lars +13 · 3 citations
Computer Science · #Distributed and Parallel Computing Systems #Parallel Computing and Optimization Techniques #Computational Physics and Python Applications
paper · pdf · doi:10.48550/arxiv.2411.18194
o address the challenges posed by current magnetism research into systems with complex magnetic ordering and interfaces, we developed mumax+, an extensible GPU-accelerated micromagnetic simulator with a Python user interface. It is a general solver for the space- and time-dependent evolution of the magnetization and related vector quantities, using finite difference discretization. Here, we present its design and verification and discuss features not available in mumax3, such as the modeling of antiferromagnets with magnetoelastic coupling. As an illustration of its capabilities, we show that mumax+ can predict antiferromagnetic domain walls and their velocity induced by spin transfer torques, as well as the dispersion relations for antiferromagnetic spin waves, elastic waves, and their magnetoelastic anticrossing behavior.