11 citations · 22 across the 3 of their papers we have counts for
3 papers
Machine learning of phases and structures for model systems in physics
Djenabou Bayo, Burak Çivitcioğlu, Joseph J Webb +2
The detection of phase transitions is a fundamental challenge in condensed matter physics, traditionally addressed through analytical methods and direct numerical simulations. In r…
The percolating cluster is invisible to image recognition with deep learning
Djénabou Bayo, Andreas Honecker, Rudolf A. Römer
We study the two-dimensional site-percolation model on a square lattice. In this paradigmatic model, sites are randomly occupied with probability ; a second-order phase transiti…
Machine learning the 2D percolation model
Djénabou Bayo, Andreas Honecker, Rudolf A. Römer
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.…