Machine learning the 2D percolation model

Machine learning the 2D percolation model

We use deep-learning strategies to study the 2D percolation model on a square lattice. We employ standard image recognition tools with a multi-layered convolutional neural network. We test how well these strategies can characterise densities and correlation lengths of percolation states and whether...

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Veröffentlicht in:Journal of physics. Conference series 2022-03, Vol.2207 (1), p.12057
Hauptverfasser: Bayo, Djénabou, Honecker, Andreas, Römer, Rudolf A.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial neural networks
Condensed Matter
Deep learning
Disordered Systems and Neural Networks
Machine learning
Multilayers
Object recognition
Percolation
Physics
Two dimensional models
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Zusammenfassung:We use deep-learning strategies to study the 2D percolation model on a square lattice. We employ standard image recognition tools with a multi-layered convolutional neural network. We test how well these strategies can characterise densities and correlation lengths of percolation states and whether the essential role of the percolating cluster is recognised.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2207/1/012057