18 citations · 46 across the 7 of their papers we have counts for
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physics.comp-ph2023
Applications of Domain Adversarial Neural Network in phase transition of 3D Potts model
Xiangna Chen, Feiyi Liu, Weibing Deng +5
Machine learning techniques exhibit significant performance in discriminating different phases of matter and provide a new avenue for studying phase transitions. We investigate the…
nlin.CG2023
Supervised and unsupervised learning of (1+1)-dimensional even-offspring branching annihilating random walks
Yanyang Wang, Wei Li, Feiyi Liu +1
Machine learning (ML) of phase transitions (PTs) has gradually become an effective approach that enables us to explore the nature of various PTs more promptly in equilibrium and no…