2012
DOI: 10.1103/physreve.85.021142
|View full text |Cite
|
Sign up to set email alerts
|

Magnetic properties and critical behavior of disordered Fe1xRuxalloys: A Monte Carlo approach

Abstract: We study the critical behavior of a quenched random-exchange Ising model with competing interactions on a bcc lattice. This model was introduced in the study of the magnetic behavior of Fe 1−x Ru x alloys for ruthenium concentrations x = 0%, x = 4%, x = 6%, and x = 8%. Our study is carried out within a Monte Carlo approach, with the aid of a re-weighting multiple histogram technique. By means of a finite-size scaling analysis of several thermodynamic quantities, taking into account up to the leading irrelevant… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
2
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 26 publications
1
2
0
Order By: Relevance
“…From there we obtain T c = 6.3542(2). This critical temperature for q = 0 agrees very well with the previous one obtained from the susceptibility, and also with the high-temperature series expansion estimate by Butera and Comi T c = 6.35435(3) [40] and with other Monte Carlo results T c = 6.35441(5) [43], and T c = 6.3544(6) [25]. This is a quite nice numerical way for us to test the implementations that have been done in the computer codes.…”
Section: Resultssupporting
confidence: 91%
See 2 more Smart Citations
“…From there we obtain T c = 6.3542(2). This critical temperature for q = 0 agrees very well with the previous one obtained from the susceptibility, and also with the high-temperature series expansion estimate by Butera and Comi T c = 6.35435(3) [40] and with other Monte Carlo results T c = 6.35441(5) [43], and T c = 6.3544(6) [25]. This is a quite nice numerical way for us to test the implementations that have been done in the computer codes.…”
Section: Resultssupporting
confidence: 91%
“…Such cluster size properties have not been considered previously and better fits than those from Refs. [15][16][17][18][19][20][21][22][23][24][25][26][27] have been achieved. In addition, Monte Carlo simulations provide not only more precise values for the transition temperatures, but also can capture the real physics of the cluster size properties.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation