First-order transition features of the 3D bimodal random-field Ising model
| dc.creator | Fytas, N. G. | |
| dc.creator | Malakis, A. | |
| dc.creator | Eftaxias, K. | |
| dc.date | 2008-02-01 | |
| dc.date | 2008-03-12 | |
| dc.date.accessioned | 2026-07-07T09:29:04Z | |
| dc.date.available | 2026-07-07T09:29:04Z | |
| dc.description | Two numerical strategies based on the Wang-Landau and Lee entropic sampling schemes are implemented to investigate the first-order transition features of the 3D bimodal ($\pm h$) random-field Ising model at the strong disorder regime. We consider simple cubic lattices with linear sizes in the range $L=4-32$ and simulate the system for two values of the disorder strength: $h=2$ and $h=2.25$. The nature of the transition is elucidated by applying the Lee-Kosterlitz free-energy barrier method. Our results indicate that, despite the strong first-order-like characteristics, the transition remains continuous, in disagreement with the early mean-field theory prediction of a tricritical point at high values of the random-field. | |
| dc.description | 19 pages, 6 figures, slightly extended version as accepted for publication | |
| dc.identifier | https://arxiv.org/abs/0802.0073 | |
| dc.identifier | http://arxiv.org/abs/0802.0073 | |
| dc.identifier | J. Stat. Mech. (2008) P03015 | |
| dc.identifier | doi:10.1088/1742-5468/2008/03/P03015 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/157653 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | First-order transition features of the 3D bimodal random-field Ising model | |
| dc.type | text |