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September 30, 2025

A Novel Method for Fluid Flow Simulation in Porous Media by Combining Physics Informed Neural Networks and Smoothed Particle Hydrodynamics

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Innovative method combines physics informed neural networks and smoothed particle hydrodynamics, enhancing simulation efficiency.

This approach shows significant improvements in stability and efficiency in pore-scale fluid flow simulations.
It combines smoothed particle hydrodynamics and physics informed neural networks to tackle complex geometries.
Boundary conditions are directly implemented in the framework for better simulation accuracy.
Automatic differentiation is used for exact computation of partial derivatives, boosting computational efficiency.

Zhu et al. (2025) studied this question.

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