3 papers
cond-mat.stat-mech2020
Unsupervised learning of topological phase transitions using Calinski-Harabaz index
Jielin Wang, Wanzhou Zhang, Tian Hua +1
Machine learning methods have been recently applied to learning phases of matter and transitions between them. Of particular interest is the topological phase transition, such as i…
cond-mat.stat-mech2020
Worm quantum Monte-Carlo study of phase diagram of extended Jaynes-Cummings-Hubbard model
Huanhuan Wei, Jie Zhang, Sebastian Greschner +2
Herein, we study the extended Jaynes-Cummings-Hubbard model mainly by the large-scale worm quantum Monte-Carlo method to check whether or not a light supersolid phase exists in var…
cond-mat.stat-mech2018
Machine learning of phase transitions in the percolation and XY models
Wanzhou Zhang, Jiayu Liu, Tzu-Chieh Wei
In this paper, we apply machine learning methods to study phase transitions in certain statistical mechanical models on the two dimensional lattices, whose transitions involve non-…