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mumax+: extensible GPU-accelerated micromagnetics and beyond
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mumax+: extensible GPU-accelerated micromagnetics and beyond
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We present mumax+, an extensible GPU-accelerated micromagnetic simulator with a Python user interface, to address the challenges posed by current magnetism research into systems with complex magnetic ordering and interfaces. 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 application and design and discuss features not available in \mumaxthree{}, such as the modeling of antiferromagnets with magnetoelastic coupling. As an illustration of its capabilities, we use \mumaxp{} to simulate state of the art magnetic systems. Specifically, we demonstrate the current induced domain wall motion in a polycrystalline antiferromagnet, we simulate the working principle of a strain-driven antiferromagnetic racetrack memory and we reproduce experimentally observed domain structures in a non-collinear antiferromagnet.
Forward citations
Cited by 3 Pith papers
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Demonstrating magnetic memory in iron-rhodium structures using a quantum diamond microscope
Direct QDM imaging shows that pinned uncompensated moments in FeRh preserve magnetic orientation across AFM-FM phase transitions, enabling AFM-based magnetic memory.
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Modeling Magnetoelastic Wave Interactions in Magnetic Films and Heterostructures: A finite-difference approach
A finite-difference simulation scheme for coupled magnetic and elastic wave dynamics was implemented, including interface jump conditions for stress and strain in magnetic heterostructures.
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Micromagnetic Modeling of Surface Acoustic Wave Driven Dynamics: Interplay of Strain, Magnetorotation, and Magnetic Anisotropy
Micromagnetic modeling shows that the orientation of weak in-plane uniaxial anisotropy can tune efficient resonant coupling between surface acoustic waves and spin waves even in the parallel propagation configuration.
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