PINN-Phase: A physics-informed neural network for curvature-driven multiphase-field evolution
PINN-Phase is introduced, a physics-informed neural time integrator that advances the full multiphase field from its initial condition and enforces phase bounds and unit sum at every step; on the reported explicit multiphase-field benchmarks, post-initial-condition reference states serve only for evaluation.