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.
Mechanics of Materials37(2-3), 275–285 (2005)
1 Pith paper cite this work, alongside 664 external citations. Polarity classification is still indexing.
1
Pith paper citing it
664
external citations · OpenAlex
fields
cond-mat.soft 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.