G.-C. Yang

Physics-informed neural network enhanced particle image velocimetry for granular flows with pressure-dependent rheology

Accurate characterization of granular flows depends on the reliable identification of internal stress states and boundary slip behaviors, which remains challenging due to the limited observability of stress fields and near-wall dynamics in Particle Image Velocimetry (PIV) measurements. To address these limitations, thi...