Graph neural networks classify rigidity and connectivity percolation of 2D particle networks, exceeding 95 percent accuracy on diluted lattices but falling below 90 percent on correlated off-lattice gels.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.comp-ph 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks
Graph neural networks classify rigidity and connectivity percolation of 2D particle networks, exceeding 95 percent accuracy on diluted lattices but falling below 90 percent on correlated off-lattice gels.