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Article Dans Une Revue Journal of Physics: Conference Series Année : 2022

Machine learning the 2D percolation model

Résumé

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.

Dates et versions

hal-03636152 , version 1 (09-04-2022)

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Citer

Djénabou Bayo, Andreas Honecker, Rudolf Römer. Machine learning the 2D percolation model. Journal of Physics: Conference Series, 2022, 2207 (1), pp.012057. ⟨10.1088/1742-6596/2207/1/012057⟩. ⟨hal-03636152⟩
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