Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Subject
Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science
Reference47 articles.
1. Discovering phase transitions with unsupervised learning;Wang;Phys. Rev. B,2016
2. Machine learning phases of matter;Carrasquilla;Nat. Phys.,2017
3. Machine learning of frustrated classical spin models. I. Principal component analysis;Wang;Phys. Rev. B 96,2017
4. Unsupervised machine learning account of magnetic transitions in the hubbard model;Ch’ng;Phys. Rev. E,2018
5. Discovering phases, phase transitions, and crossovers through unsupervised machine learning: a critical examination;Hu;Phys. Rev. E,2017
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