Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-04-25
Physics
Condensed Matter
Disordered Systems and Neural Networks
5 pages, 8 figures
Scientific paper
10.1103/PhysRevLett.94.227202
We have performed a large scale Monte Carlo simulation of a dilute classical Heisenberg model with ferromagnetic nearest neighbor and antiferromagnetic next-nearest neighbor interactions. We found that the model reproduces a reentrant spin-glass transition. That is, as the temperature is decreased, the magnetization increases rapidly below a certain temperature, reaches a maximum value, then ceases at some lower temperature. The low temperature phase was suggested to be a spin-glass phase that is characterized by ferromagnetic clusters.
Abiko S.
Matsubara Fumitaka
Niidera S.
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