most citedDiscovering Phases, Phase Transitions and Crossovers through Unsupervised Machine Learning: A critical examination

348 citations · 348 across the 1 of their papers we have counts for

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1 paper

cond-mat.stat-mech2017★ 348 cited

Discovering Phases, Phase Transitions and Crossovers through Unsupervised Machine Learning: A critical examination

Wenjian Hu, Rajiv R. P. Singh, Richard T. Scalettar

We apply unsupervised machine learning techniques, mainly principal component analysis (PCA), to compare and contrast the phase behavior and phase transitions in several classical…