💻 computer science
A PINN Approach for Solving Singularly Perturbed Parabolic Partial Differential Equations with Two Small Parameters
This paper proposes two Physics-Informed Neural Network models, DeepXDE and a raw PyTorch implementation, to effectively solve singularly perturbed parabolic partial differential equations with two small parameters, addressing the limitations of standard numerical methods in capturing boundary and interior layers.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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