Physics-Informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media

Physics-Informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media

Simulating solute transport in heterogeneous porous media poses computational challenges due to the high-resolution meshing required for traditional solvers. To overcome these challenges, this study explores a mesh-free method based on deep learning to accelerate solute transport simulation. We empl...

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Bibliographic Details
Main Authors: Salah A. Faroughi, Ramin Soltanmohammadi, Pingki Datta, Seyed Kourosh Mahjour, Shirko Faroughi
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Mathematics
Subjects:
physics-informed neural networks
solute transport
heterogeneous porous media
advection-dispersion equation
deep learning
scientific computing
Online Access:https://www.mdpi.com/2227-7390/12/1/63

Internet

https://www.mdpi.com/2227-7390/12/1/63

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