Universality class of machine learning for critical phenomena
Universality class of machine learning for critical phenomena
About this item
Full title
Author / Creator
Hu, Gaoke , Sun, Yu , Liu, Teng , Zhang, Yongwen , Liu, Maoxin , Fan, Jingfang , Chen, Wei and Chen, Xiaosong
Publisher
Beijing: Science China Press
Journal title
Language
English
Formats
Publication information
Publisher
Beijing: Science China Press
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Scope and Contents
Contents
Herein, percolation phase transitions on a two-dimensional lattice were studied using machine learning techniques. Results reveal that different phase transitions belonging to the same universality class can be identified using the same neural networks (NNs), whereas phase transitions of different universality classes require different NNs. Based o...
Alternative Titles
Full title
Universality class of machine learning for critical phenomena
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Record Identifier
TN_cdi_proquest_journals_2918549847
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918549847
Other Identifiers
ISSN
1674-7348
E-ISSN
1869-1927
DOI
10.1007/s11433-023-2221-8
