期刊论文

Liu, FY

英文

Physica A-Statistical Mechanics and its Applications

0378-4371

2023

617

128666

10.1016/j.physa.2023.128666

CRediT authorship contribution statement Xiangna Chen: Investigation, Conceptualization, Methodology, Validation, Writing – original draft. Feiyi Liu: Conceptualization, Methodology, Software, Validation, Writing – review & editing, Supervision. Shiyang Chen: Software, Validation, Writing – review & editing. Jianmin Shen: Conceptualization, Methodology. Weibing Deng: Conceptualization, Writing – review & editing, Supervision, acquisition. Gábor Papp: Software, Validation, Writing – review & editing, acquisition. Wei Li:

本校为第一且通讯机构

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 need to choose a few labeled configurations automatically as input data, then the critical points can be obtained after training the algorithm. By an additional iterative process, the critical points can be captured to comparable accuracy to Monte Carlo simulations as we demonstrate it for q = 3,4, 5, 7 and 10. The type of phase transition (first or second-order) is also determined at the same time. Meanwhile, for the s...