A magnetostatic energy formula arising from the $L^2$-orthogonal decomposition of the stray field

Abstract

A formula for the magnetostatic energy of a finite magnet is proven. In contrast to common approaches, the new energy identity does not rely on evaluation of a nonlocal boundary integral inside the magnet or the solution of an equivalent Dirichlet problem. The formula is therefore computationally efficient, which is also shown numerically. Algorithms for the simulation of magnetic materials could benefit from incorporating the presented representation of the energy. In addition, a natural analogue for the energy via the magnetic induction is given. Proofs are carried out within a setting which is suitable for common discretizations in computational micromagnetics.

References in corpus (1)

• Transition Jitter in Heat Assisted Magnetic Recording by Micromagnetic Simulation

Cited by in corpus (3)

• Physics-informed machine learning and stray field computation with application to micromagnetic energy minimization
• Machine learning methods for the prediction of micromagnetic magnetization dynamics
• Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method