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matthewju/ferroelectric-tdgl-bench

Ferroelectric TDGL Phase-Field Benchmark This is an open benchmark for learning ferroelectric phase-field dynamics. It contains 1,475 3D simulations of the out-of-plane polarization $P_z(\mathbf r, t)$ in a hafnia-like ferroelectric capacitor. They were produced with the GPU phase-field solver FerroX by solving time-dependent Ginzburg–Landau (TDGL) gradient flow coupled to the electrostatics of the stack. The data and splits are the ones used in: M. Ju, Y. Tang, K. Wang, H.… See the full description on the dataset page: https://huggingface.co/datasets/matthewju/ferroelectric-tdgl-bench.

Author / organizationmatthewju
License (as declared)cc-by-4.0
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Created21 October 2026
Last updated at source21 October 2026
physicspdephase-fieldferroelectricsneural-operatorsmaterials-sciencescientific-machine-learning
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