most citedExtracting Critical Exponent by Finite-Size Scaling with Convolutional Neural Networks

30 citations · 54 across the 2 of their papers we have counts for

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2 papers

cond-mat.dis-nn2017★ 30 cited

Extracting Critical Exponent by Finite-Size Scaling with Convolutional Neural Networks

Zhenyu Li, Mingxing Luo, Xin Wan

Machine learning has been successfully applied to identify phases and phase transitions in condensed matter systems. However, quantitative characterization of the critical fluctuat…

cond-mat.dis-nn2017★ 24 cited

Identifying Product Order with Restricted Boltzmann Machines

Wen-Jia Rao, Zhenyu Li, Qiong Zhu +2

Unsupervised machine learning via a restricted Boltzmann machine is an useful tool in distinguishing an ordered phase from a disordered phase. Here we study its application on the…