GNN Surrogate Models for Granular Flows
Graph neural network-based surrogate models for predicting granular flow behavior in arbitrarily shaped domains.
Graph neural network-based surrogate models for predicting granular flow behavior in arbitrarily shaped domains.
Data-driven reduced-order models using POD and deep learning for gas-solid multiphase flow simulations.