Cahn Hilliard

The Cahn-Hilliard dataset is used to evaluate the performance of models in learning the solution mappings of the Cahn-Hilliard equation, which describes phase separation and coarsening in binary mixtures.

Papers using Cahn Hilliard (2)

HAMNO: A Hierarchical Adaptive Multi-scale Neural Operator with Physics-Informed Learning for Dynamical Systems2026A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks2022 · 11 cites