A Fourier-Space Approach to Physics-Informed Magnetization Reconstruction from Nitrogen-Vacancy Measurements
The paper addresses the difficulty of reconstructing magnetization textures from stray field measurements by incorporating micromagnetic physics directly into an optimization framework. By minimizing a joint energy function that includes both data error and physical micromagnetic energy, the method successfully recovers magnetization configurations and estimates unknown parameters like the effective distance between sensors and materials.