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Physics aware machine learning for micromagnetic energy minimization: Recent algorithmic developments
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DOI：10.1016/j.cpc.2025.109719.png)
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Abstract
En 中文
• Physics-informed neural networks and extreme learning machines with hard constraints for magnetostatic fields. • Formulation of Brown's energy bounds for the magnetostatic self-energy on the finite domain. • Alternating optimization scheme for scalar/vector potential and the Gibbs free energy in micromagnetism.
Keywords:
Micromagnetic energy minimization
Magnetostatic energy bound
Physics-informed neural network
Boundary integral operator
Extreme learning machine
Vector potential
Journal
IF:
3.4
Papers:
1.2W
Citations:
3.7W