A DeepRitzSplit neural operator trained on energy-split variational forms enforces dissipation in phase-field models and outperforms data-driven training in generalization while running faster than Fourier spectral methods on Allen-Cahn and dendritic growth cases.
Accelerating phase-field simulation of three-dimensional mi- crostructure evolution in laser powder bed fusion with composable machine learning predictions
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DeepRitzSplit Neural Operator for Phase-Field Models via Energy Splitting
A DeepRitzSplit neural operator trained on energy-split variational forms enforces dissipation in phase-field models and outperforms data-driven training in generalization while running faster than Fourier spectral methods on Allen-Cahn and dendritic growth cases.