Physics-Constrained Neural Network Framework for Predicting Terminal Settling Velocity
Predicting the terminal settling velocity of particles in non-Newtonian fluids remains a persistent challenge in multiphase flow modeling, with applications spanning chemical processing, mineral processing, and geophysical fluid dynamics. Traditional approaches—empirical drag correlations and fully resolved numerical s...