Title variants
Languages of publication
Abstracts
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.
Discipline
- 75.10.Nr: Spin-glass and other random models(for spin glasses and other random magnets, see 75.50.Lk)
- 84.35.+i: Neural networks(for optical neural networks, see 42.79.Ta; see also 07.05.Mh Neural networks, fuzzy logic, artificial intelligence in computers in experimental physics; 87.18.Sn in biological complexity)
- 75.10.-b: General theory and models of magnetic ordering(see also 05.50.+q Lattice theory and statistics)
Journal
Year
Volume
Issue
Pages
983-986
Physical description
Dates
published
2000-05
Contributors
author
- Department of Physics, Monash University, Clayton 3168, Australia
author
- Department of Physics, Monash University, Clayton 3168, Australia
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv97z562kz