arXiv subjects

Octavio R. Salmon

Publications and source records attributed to Octavio R. Salmon.

5 recordsLinked to original sources

arXiv2016

Multicritical behavior of the two-dimensional transverse Ising metamagnet in a longitudinal magnetic field

Magnetic phenomena of the superantiferromagnetic Ising model in both uniform longitudinal ($H$) and transverse ($Ω$) magnetic fields are studied by employing a mean-field variational approach based on Peierls-Bogoliubov inequality for the free energy. A single-spin cluster is used to get the approximate thermodynamic properties of the model. The phase diagrams in the magnetic fields and temperature ($T$) planes, namely, $H-T$ and $Ω-T$, are analyzed on an anisotropic square lattice for some values of the ratio $α=J_{y}/J_{x}$, where $J_x$ and $J_y$ are the exchange interactions along the $x$ and $y$ directions, respectively. Depending on the range of the Hamiltonian parameters, one has only second-order transition lines, only first-order transition lines, or first- and second-order transition lines with the presence of tricritical points. The corresponding phase diagrams show no reentrant behavior along the first-order transition lines at low temperatures. These results are different from those obtained by using Effective Field Theory with the same cluster size.

cond-mat.stat-mech↗

arXiv2016

The magnetic susceptibility on the transverse antiferromagnetic Ising model: Analysis of the reentrant behaviour

We study the three-dimensional antiferromagnetic Ising model in both uniform longitudinal ($H$) and transverse ($Ω$) magnetic fields by using the effective-field theory with finite cluster $N=1$ spin (EFT-1). We analyzed the behavior of the magnetic susceptibility to investigate the reentrant phenomena we have seen the same phase diagram previously obtained in another papers. Our results shows the presence of two divergences in the susceptibility that indicates the existence of a reentrant behaviour.

cond-mat.stat-mech↗

arXiv2009

Spin-Glass Attractor on Tridimensional Hierarchical Lattices in the Presence of an External Magnetic Field

A nearest-neighbor-interaction Ising spin glass, in the presence of an external magnetic field, is studied on different hierarchical lattices that approach the cubic lattice. The magnetic field is considered as uniform, or random (following either a bimodal or a Gaussian probability distribution). In all cases, a spin-glass attractor is found, in the plane magnetic field versus temperature, associated with a low-temperature phase. The physical consequences of this attractor are discussed, in view of the present scenario of the spin-glass problem.

cond-mat.stat-mech↗

arXiv2009

Phase Diagram of the Two-Dimensional Ising Model with Random Competing Interactions

An Ising model with ferromagnetic nearest-neighbor interactions $J_{1}$ ($J_{1}>0$) and random next-nearest-neighbor interactions [$+J_{2}$ with probability $p$ and $-J_{2}$ with probability $(1-p)$; $J_{2}>0$] is studied within the framework of an effective-field theory based on the differential-operator technique. The order parameters are calculated, considering finite clusters with $n=1,2, {\rm and} 4$ spins, using the standard approximation of neglecting correlations. A phase diagram is obtained in the plane temperature versus $p$, for the particular case $J_{1}=J_{2}$, showing both superantiferromagnetic (low $p$) and ferromagnetic (higher values of $p$) orderings at low temperatures.

cond-mat.stat-mech↗

arXiv2008

Multicritical Behavior in a Random-Field Ising Model under a Continuous-Field Probability Distribution

A random-field Ising model that is capable of exhibiting a rich variety of multicritical phenomena, as well as a smearing of such behavior, is investigated. The model consists of an infinite-range-interaction Ising ferromagnet in the presence of a triple-Gaussian random magnetic field, which is defined as a superposition of three Gaussian distributions with the same width $σ$, centered at H=0 and $H=\pm H_{0}$, with probabilities $p$ and $(1-p)/2$, respectively. Such a distribution is very general and recovers as limiting cases, the trimodal, bimodal, and Gaussian probability distributions.

cond-mat.stat-mech↗