Logical Reasoning for Revealing the Critical Temperature through Deep Learning of Configuration Ensemble of Statistical Systems

21 Apr 2019 Aoki Ken-Ichi Fujita Tatsuhiro Kobayashi Tamao

Recently, there have been many works on the deep learning of statistical ensembles to determine the critical temperature of a possible phase transition. We analyze the detailed structure of an optimized deep learning machine and prove the basic equalities among the optimized machine parameters and the physical quantities of the statistical system... (read more)

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Categories


  • STATISTICAL MECHANICS
  • HIGH ENERGY PHYSICS - LATTICE