A review paper cataloging PINN architectures, equation-specific variants, applications, and challenges, without presenting new experimental or theoretical results.
A second-order network structure based on gradient-enhanced physics-informed neural networks for solving parabolic partial differential equations
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A comprehensive analysis of PINNs: Variants, Applications, and Challenges
A review paper cataloging PINN architectures, equation-specific variants, applications, and challenges, without presenting new experimental or theoretical results.