Rujin Ma

CViT not only excels in stability but also reveals that physics-informed training can rival data-driven methods under optimal conditions.

Physics-informed neural operators can drastically improve the accuracy and stability of phase-field modeling, outperforming standard neural operators in complex materials simulations.