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arXiv · 2111.13116

Machine learning the 2D percolation model

Djénabou Bayo·Andreas Honecker·Rudolf A. Römer
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Abstract

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.

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Djénabou Bayo, Andreas Honecker, Rudolf A. Römer. 2021-11-25. Machine learning the 2D percolation model. https://doi.org/10.1088/1742-6596%2F2207%2F1%2F012057

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