Mass-weighted Fourier preconditioning drives energy-minimizing PINNs for adhesive line contact to machine-zero loss in ~400 Adam steps and matches GFMD displacement and stress fields.
Tribology Letters73(3) (2025)
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Mass weighting algorithm optimizes Fourier-based physics-informed neural network in adhesive contact mechanics
Mass-weighted Fourier preconditioning drives energy-minimizing PINNs for adhesive line contact to machine-zero loss in ~400 Adam steps and matches GFMD displacement and stress fields.