Dynamical and Numerical Analysis of Nonlinear Diffusion Models Using Lie Symmetry and PINN

We perform a Lie symmetry classification of a two-dimensional nonlinear diffusion-reaction equation with anisotropic diffusion and reaction terms. Using the obtained Lie symmetries, we derive the corresponding reduced equations and construct several exact solutions, including explicit and implicit forms, as well as approximate power-type solutions. Representative cases from the symmetry classification are selected, and the derived exact solutions are used to design consistent initial and boundary conditions. A PINN-based approximation is then used to compute numerical solutions, which are compared against the exact solutions through error metrics. Heatmaps illustrate the agreement of the trained PINN model. Finally, the reduced ODEs are examined via equilibria, local stability, and phase portraits. The qualitative changes induced by parameter variations are discussed, clarifying how parameter choices affect the reduced and numerical solutions.

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Publication Details

Journal
International Journal of Geometric Methods in Modern Physics
Published
2026-07-30
DOI
https://doi.org/10.1142/s0219887826503500
Primary Topic
Nonlinear Waves and Solitons
Type
article
Field-Weighted Citation Impact
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article

Dynamical and Numerical Analysis of Nonlinear Diffusion Models Using Lie Symmetry and PINN

Yu-Shan Bai, Yan Ting Ren
International Journal of Geometric Methods in Modern Physics
Nonlinear Waves and Solitons
article

Dynamical and Numerical Analysis of Nonlinear Diffusion Models Using Lie Symmetry and PINN

Yu-Shan Bai, Yan Ting Ren
article en

Abstract

We perform a Lie symmetry classification of a two-dimensional nonlinear diffusion-reaction equation with anisotropic diffusion and reaction terms. Using the obtained Lie symmetries, we derive the corresponding reduced equations and construct several exact solutions, including explicit and implicit forms, as well as approximate power-type solutions. Representative cases from the symmetry classification are selected, and the derived exact solutions are used to design consistent initial and boundary conditions. A PINN-based approximation is then used to compute numerical solutions, which are compared against the exact solutions through error metrics. Heatmaps illustrate the agreement of the trained PINN model. Finally, the reduced ODEs are examined via equilibria, local stability, and phase portraits. The qualitative changes induced by parameter variations are discussed, clarifying how parameter choices affect the reduced and numerical solutions.

International Journal of Geometric Methods in Modern Physics
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Nonlinear Waves and Solitons
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