Efficient and Scalable Physics-Guided Fully Convolutional Spatiotemporal Learning for 3D Microstructure Evolution Prediction
cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/mtrimboli2018/CNN_STL_MicEvo
Sources
- Physics-Guided Fully Convolutional Spatiotemporal Learning Toward Digital-Twin-Enabled Microstructure Evolution Prediction
- MLP-Mixer: An all-MLP Architecture for Vision
- Exponential Integrators for Phase-Field Equations using Pseudo-spectral Methods: A Python Implementation
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