A fast finite-difference algorithm for topology optimization of permanent magnets

Abstract

We present a finite-difference method for the topology optimization of permanent magnets that is based on the FFT accelerated computation of the stray-field. The presented method employs the density approach for topology optimization and uses an adjoint method for the gradient computation. Comparsion to various state-of-the-art finite-element implementations shows a superior performance and accuracy. Moreover, the presented method is very flexible and easy to implement due to various preexisting FFT stray-field implementations that can be used.

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Cited by in corpus (5)

• Roadmap on Spin-Wave Computing
• Magnetostatics and micromagnetics with physics informed neural networks
• NeuralMag: an open-source nodal finite-difference code for inverse micromagnetics
• Optimal design of nanomagnets for on-chip field gradients
• Write head design for effective curvature reduction in heat-assisted magnetic recording by topology optimization