8 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…
Phase determination with and without deep learning
Burak Çivitcioğlu, Rudolf A. Römer, Andreas Honecker
Detection of phase transitions is a critical task in statistical physics, traditionally pursued through analytic methods and direct numerical simulations. Recently, machine-learnin…
Machine Learning the Square-Lattice Ising Model
Burak Çivitcioğlu, Rudolf A. Römer, Andreas Honecker
Recently, machine-learning methods have been shown to be successful in identifying and classifying different phases of the square-lattice Ising model. We study the performance and…