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.
@article{arxiv.2111.13116,
title = {Machine learning the 2D percolation model},
author = {Djénabou Bayo and Andreas Honecker and Rudolf A. Römer},
journal= {arXiv preprint arXiv:2111.13116},
year = {2022}
}
Comments
6 pages, 14 figures, XXXII IUPAP Conference on Computational Physics