47 citations · 73 across the 3 of their papers we have counts for
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cond-mat.stat-mech2022★ 9 cited
Study of phase transition of Potts model with Domain Adversarial Neural Network
Xiangna Chen, Feiyi Liu, Shiyang Chen +5
A transfer learning method, Domain Adversarial Neural Network (DANN), is introduced to study the phase transition of two-dimensional q-state Potts model. With the DANN, we only nee…
cond-mat.stat-mech2021★ 17 cited
Transfer learning of phase transitions in percolation and directed percolation
Jianmin Shen, Feiyi Liu, Shiyang Chen +6
The latest advances of statistical physics have shown remarkable performance of machine learning in identifying phase transitions. In this paper, we apply domain adversarial neural…
cond-mat.stat-mech2016★ 47 cited
Multifractal and Network Analysis of Phase Transition
Longfeng Zhao, Wei Li, Chunbin Yang +4
Many models and real complex systems possess critical thresholds at which the systems shift from one sate to another. The discovery of the early warnings of the systems in the vici…