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Author

Cheng Zhang

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Aug 2026

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...

Cheng Zhang, Xue Li, Mao Ye et al. · 0 citations

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