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Author

A. Issakhov

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Open access Sep 2026

APPLICATION OF PHYSICALLY-ORIENTED NEURAL NETWORKS TO SOLVING PROBLEMS OF LINEAR PARTIAL DERIVATIVE EQUATIONS WITH INHOMOGENEOUS MIXED BOUNDARY CONDITIONS

The paper considers the application of Physics-Informed Neural Networks (PINN) to solving a two-dimensional Poisson equation with inhomogeneous mixed boundary conditions. The PINN method combines neural network approximations and physical laws, including the residual of the equation and errors at the boundary, into a s...

A. Issakhov, M. Beisembekov · 0 citations

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