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Article title

A Neural Network Model of an Ising Spin Glass

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Abstracts
EN
The behaviour of an Ising spin glass (S=1/2) with infinite range interactions is modelled using a numerical simulation based on a neural network. Thermodynamic variables are defined on the network, and are found to obey the Thouless-Anderson-Palmer theory when the applied magnetic field is zero. When a magnetic field is applied along the spin direction, complex field-dependent behaviour appears, including a state in which the Edwards-Anderson order parameter is independent of temperature below the critical temperature.
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author
  • Department of Physics, Monash University, Clayton 3168, Australia
author
  • Department of Physics, Monash University, Clayton 3168, Australia
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bwmeta1.element.bwnjournal-article-appv97z562kz
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