A Physics-Informed Neural Network Approach to the Richards Equation and Soil-Process Investigation
Year: 2025
Type: conference-paper
Abstract: This paper presents a physics-informed neural network (PINN) approach for solving the Richards equation, which governs transient moisture transport in variably saturated soils.The model is trained on synthetic datasets generated using the porousMultiphaseFoam library based on OpenFOAM.The study investigates the ability of PINNs to accurately reproduce one-and two-dimensional infiltration dynamics and predict moisture content profiles over time.
DOI: 10.51408/csit2025_65
Authors: Ivan Maltsev, Sergei Strijhak, Anna Varlamova, Andrei Kulinskii
Institution: Institute for System Programming
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Awards: G6290034367, G6444257319
OpenAlex ID: W4414454178
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