Machine-Learning Studies on Spin Models.
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ABSTRACT:
SUBMITTER: Shiina K
PROVIDER: S-EPMC7005704 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Publications
Machine-Learning Studies on Spin Models.
Shiina Kenta K Mori Hiroyuki H Okabe Yutaka Y Lee Hwee Kuan HK
Scientific reports 20200207 1
With the recent developments in machine learning, Carrasquilla and Melko have proposed a paradigm that is complementary to the conventional approach for the study of spin models. As an alternative to investigating the thermal average of macroscopic physical quantities, they have used the spin configurations for the classification of the disordered and ordered phases of a phase transition through machine learning. We extend and generalize this method. We focus on the configuration of the long-ran ...[more]
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