Physics-Constrained Neural Network Framework for Predicting Terminal Settling Velocity
This work introduces a Physics-Constrained Neural Network (PCNN) that embeds the terminal force-balance equation into the training loss through an independent drag closure—a generalized Reynolds number and sphere drag correlation corrected for particle sphericity and Herschel–Bulkley rheology—combined with a data-drive...