MagTense: a micromagnetic framework using the analytical demagnetization tensor

TL;DR

MagTense is an open-source micromagnetic simulation framework that uses an analytical approach to calculate demagnetization fields with improved accuracy and efficiency, especially when leveraging GPU acceleration.

Contribution

It introduces a novel discretization method with analytical demagnetization tensor calculations for improved micromagnetic simulations.

Findings

Accurately solves standard micromagnetic problems 2, 3, and 4.

Demonstrates significant speedup using NVIDIA CUDA for tensor computations.

Provides an open-source tool for enhanced micromagnetic modeling.

Abstract

We present the open source micromagnetic framework, MagTense, which utilizes a novel discretization approach of rectangular cuboid or tetrahedron geometry "tiles" to analytically calculate the demagnetization field. Each tile is assumed to be uniformly magnetized, and from this assumption only, the demagnetization field can be analytically calculated. Using this novel approach we calculate the solution to the mmag standard micromagnetic problems 2, 3 and 4 and find that the MagTense framework accurately predicts the solution to each of these. Finally, we show that simulation time can be significantly improved by performing the dense demagnetization tensor matrix multiplications using NVIDIA CUDA.