DAE trains a physics-informed neural network on the asymptotic front-position equation, yielding accurate solutions for singularly perturbed reaction-advection-diffusion problems where direct PINN fails.
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Deep asymptotic expansion method for solving singularly perturbed time-dependent reaction-advection-diffusion equations
DAE trains a physics-informed neural network on the asymptotic front-position equation, yielding accurate solutions for singularly perturbed reaction-advection-diffusion problems where direct PINN fails.