FNO surrogate model learns to predict long-term grain growth evolution from phase-field data while remaining accurate on unseen configurations and higher-resolution grids.
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Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator
FNO surrogate model learns to predict long-term grain growth evolution from phase-field data while remaining accurate on unseen configurations and higher-resolution grids.