Xue Li

A physics‐informed neural network for solving gas–solid two‐phase flow

Physics‐informed neural networks (PINNs) provide a promising framework for inferring flow fields from indirect measurements, yet their application to gas–solid two‐phase systems remains limited. This work develops a PINN‐based approach to reconstruct gas‐ and solid‐phase velocities directly from gas‐phase volume fr...