This work proposes a modeling approach that speeds up magnetization dynamics analysis in nanoparticles, suggesting enhanced computational efficiency.
The coupled Brown-Néel rotation model formulates the nanoparticle magnetization dynamics as a system of ordinary differential equations that are computationally demanding to solve. In this work, we propose utilizing a proper orthogonal decomposition approach for reduced-order modeling of magnetization dynamics, providing significant computational speedup while preserving accuracy.
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Gülsün et al. (2025) studied this question.
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