Physics-inspired architecture for neural network modeling of forces and torques in particle-laden flows

Arman Seyed-Ahmadi, Anthony Wachs

We present a physics-inspired neural network (PINN) model for direct prediction of hydrodynamic forces and torques experienced by individual particles in stationary beds of randoml…