Abstract:Ising model with quenched random magnetic fields is examined for single Gaussian, bimodal and double Gaussian random field distributions by introducing an effective field approximation that takes into account the correlations between different spins that emerge when expanding the identities. Random field distribution shape dependence of the phase diagrams, magnetization and internal energy is investigated for a honeycomb lattice with a coordination number q = 3. The conditions for the occurrence of reentrant b… Show more
“…where Q 12 = 1 2 tanh(2βJ) from relations (13), (14), (15), (16), so that for the respective critical point we get 2Q c 12 = 1 or tanh(2β c J) = 1 which implies that…”
Section: Model and Formalismmentioning
confidence: 98%
“…where G k = 3g k0 + 4g k1 + g k2 and the g's functions are defined in (14). The resulting equation for the equilibrium magnetization from ( 9) is…”
Section: Model and Formalismmentioning
confidence: 99%
“…This procedure presents a great versatility and has been applied to several occasions such as pure, site-and bond-random Ising model, although this procedure shall not yield accurate values for the physical quantities in the critical region due to the absence of long range fluctuations. EFT has already been used in numerous physical problems as a tool to study the magnetic behavior of complex spin systems, such as diluted ferromagnets [9,10,11], pure anisotropic systems [12], disordered systems [13,14], cylindrical nanowires [15].…”
The spin-1/2 Ising model on a square lattice, with fluctuating bond interactions between nearest neighbors and in the presence of a random magnetic field, is investigated within the framework of the effective field theory based on the use of the differential operator relation. The random field is drawn from the asymmetric and anisotropic bimodal probability distribution P (h i ) = pδ(h i −h 1 )+qδ(h i +ch 1 ), where the site probabilities p, q take on values within the interval [0, 1] with the constraint p + q = 1; h i is the random field variable with strength h 1 and c the competition parameter, which is the ratio of the strength of the random magnetic field in the two principal directions +z and −z; c is considered to be positive resulting in competing random fields. The fluctuating bond is drawn from the symmetric but anisotropic bimodal probability distribution P (J ij ) = 1 2 {δ(J ij − (J + ∆)) + δ(J ij − (J − ∆))}, where J and ∆ represent the average value and standard deviation of J ij , respectively. We estimate the transition temperatures, phase diagrams (for various values of system's parameters c, p, h 1 , ∆), susceptibility, equilibrium equation for magnetization, which is solved in order to determine the magnetization profile with respect to T and h 1 .
“…where Q 12 = 1 2 tanh(2βJ) from relations (13), (14), (15), (16), so that for the respective critical point we get 2Q c 12 = 1 or tanh(2β c J) = 1 which implies that…”
Section: Model and Formalismmentioning
confidence: 98%
“…where G k = 3g k0 + 4g k1 + g k2 and the g's functions are defined in (14). The resulting equation for the equilibrium magnetization from ( 9) is…”
Section: Model and Formalismmentioning
confidence: 99%
“…This procedure presents a great versatility and has been applied to several occasions such as pure, site-and bond-random Ising model, although this procedure shall not yield accurate values for the physical quantities in the critical region due to the absence of long range fluctuations. EFT has already been used in numerous physical problems as a tool to study the magnetic behavior of complex spin systems, such as diluted ferromagnets [9,10,11], pure anisotropic systems [12], disordered systems [13,14], cylindrical nanowires [15].…”
The spin-1/2 Ising model on a square lattice, with fluctuating bond interactions between nearest neighbors and in the presence of a random magnetic field, is investigated within the framework of the effective field theory based on the use of the differential operator relation. The random field is drawn from the asymmetric and anisotropic bimodal probability distribution P (h i ) = pδ(h i −h 1 )+qδ(h i +ch 1 ), where the site probabilities p, q take on values within the interval [0, 1] with the constraint p + q = 1; h i is the random field variable with strength h 1 and c the competition parameter, which is the ratio of the strength of the random magnetic field in the two principal directions +z and −z; c is considered to be positive resulting in competing random fields. The fluctuating bond is drawn from the symmetric but anisotropic bimodal probability distribution P (J ij ) = 1 2 {δ(J ij − (J + ∆)) + δ(J ij − (J − ∆))}, where J and ∆ represent the average value and standard deviation of J ij , respectively. We estimate the transition temperatures, phase diagrams (for various values of system's parameters c, p, h 1 , ∆), susceptibility, equilibrium equation for magnetization, which is solved in order to determine the magnetization profile with respect to T and h 1 .
“…Since Blume-Capel (BC) model was created [1,2] , the magnetothermal properties and phase transition properties of BC models on various lattices have been studied [3][4][5] . Canko's scientific research team explored the phase transition characteristics of single-spin [6] (S=1) system, mixed-spin system [7][8] (S=1/2 and S=1, S=1/2 and S=3/2), and found that the lattice field significantly affected the magnetothermal properties and phase transition of the system, especially the negative crystal field.…”
In this paper, the phase diagram of the Blume-Capel model under exchange interaction between lattice points in different positions in magnetic nanotube lattice is studied with effective field theory. The research shows that the interaction between nearest neighbors and the lattice field strength strongly influences the system’s three critical points and phase transition temperature. Under certain conditions, there are three critical points in the system. That is, the relationship between the crucial points is linear from the second-order phase transition to the first-order phase transition. First-order phase transition replaces second-order phase transition in the system’s phase transition. The findings demonstrate that exchange interaction significantly affects the system’s phase transition, and they offer a theoretical framework for both industrial production and experimental study.
“…A problem associated with the ferromagnetic model in a random field is the survival of the tricritical point [10][11][12][13][14]. Depending on the choice of the random-field distribution, for example when it is given by a symmetric double-delta functions [15], the mean-field approximation gives rise to a tricritical point.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.