Heng-Fu Xiang

Physics-Informed Neural Networks with Mass Conservation Constraints for Predicting Particle Sedimentation in Non-Newtonian Suspensions.

To address the challenge of sparse monitoring data for particle sedimentation in non-Newtonian suspensions in stirred tanks and the risk of non-physical solid-phase inventory drift in purely data-driven models during long-term extrapolation, this study proposes a parametrized physics-informed neural network (P-PINN). T...