A new look at the spin glass problem from a deep learning perspective

HIGHLIGHTS

• who: Petr Andriushchenko and collaborators from the National Center for Cognitive Research, ITMO University, bldgA, Kronverksky Pr49, Vladivostok, Russia have published the research: A New Look at the Spin Glass Problem from a Deep Learning Perspective, in the Journal: Entropy 2022, 24, 697. of /2022/
• what: The authors propose novel approach for calculating the values of thermodynamic averages of the frustrated spin glass model using custom deep neural networks. The authors propose to solve a more general problem: using machine_learning methods to solve the problem of regression of the basic thermodynamic characteristics h Ei, h . . .
  

   

  

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