A Neural Network Model of an Ising Spin Glass

• Authors: K. Wilson , D. Goossens
• Languages of publication: EN

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.

Keywords

EN

75.10.-b   75.10.Nr   84.35.+i  

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2000
• Volume: 97
• Issue: 5
• Pages: 983-986

Dates

published

2000-05

Identifiers

DOI

10.12693/APhysPolA.97.983