most citedStudy of phase transition of Potts model with Domain Adversarial Neural Network

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

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…