2012
DOI: 10.1103/physrevb.86.214423
|View full text |Cite
|
Sign up to set email alerts
|

Effect of lattice vibrations on magnetic phase transition in bcc iron

Abstract: The most widely taught example of a magnetic transition is that of Fe at 1043 K. Despite the high temperature most discussions of this transition focus on the magnetic states of a fixed spin lattice with lattice vibrations analyzed separately and simply added. We propose a model of α iron that fully couples spin and displacement degrees of freedom. Results demonstrate a significant departure from models that treat these coordinates independently. The success of the model rests on a first principles calculation… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

2
42
0
1

Year Published

2014
2014
2021
2021

Publication Types

Select...
6
1
1

Relationship

2
6

Authors

Journals

citations
Cited by 51 publications
(45 citation statements)
references
References 27 publications
2
42
0
1
Order By: Relevance
“…These discrepancies can be attributed to the anharmonic effects not being faithfully captured in the embedded atom potential and the pairwise functional representation of the exchange interaction. In fact, Yin et al [63] recently pointed out that the exchange parameters in bcc iron depend on the local atomic environment in a complicated manner that may not be properly characterized through a pairwise distance-dependent function. Thus, a more accurate depiction of magnetic interactions necessitates the development of sophisticated models of exchange interactions that effectively capture the contribution of the local environment.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These discrepancies can be attributed to the anharmonic effects not being faithfully captured in the embedded atom potential and the pairwise functional representation of the exchange interaction. In fact, Yin et al [63] recently pointed out that the exchange parameters in bcc iron depend on the local atomic environment in a complicated manner that may not be properly characterized through a pairwise distance-dependent function. Thus, a more accurate depiction of magnetic interactions necessitates the development of sophisticated models of exchange interactions that effectively capture the contribution of the local environment.…”
Section: Discussionmentioning
confidence: 99%
“…In magnetic metals and alloys, the atomic magnetic moments and exchange interactions strongly depend on the local atomic environment [21][22][23] and therefore change dynamically as the local crystal structure is distorted by lattice vibrations [24]. On the other hand, magnetic interactions themselves are integral for maintaining the structural stability of such systems [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…This demands sophisticated and improved magnetic models that are capable of providing a more realistic depiction of the material than that is possible with conventional spin models. A novel class of such improved models that continues to gain widespread attention are atomistic models that treat the dynamics of the translational (atomic) degrees of freedom on an equal footing with the spin (magnetic) degrees of freedom [1][2][3][4]. We will refer to such models as (coupled, dynamical) spin-lattice models.…”
Section: Introductionmentioning
confidence: 99%
“…A single study has been reported where parallel tempering Monte Carlo (MC) method was applied to relatively small system sizes to investigate the magnetic * dilinanp@physast.uga.edu phase transition in iron [4]. In addition to the obvious inflation of the phase space due to the inclusion of the extra spatial degrees of freedom, the coupling between the spin and lattice subsystems may also pose a significant challenge for the sampling due to the emergence of novel excitations such as coupled phonon-magnon modes [9].…”
Section: Introductionmentioning
confidence: 99%
“…21 But an adequate description of the electronic entropy in the subspace that preserves the spin is still lacking. 22 Finite temperatures benchmarks of a quality comparable to Ref. 10 are the key ingredients required to parametrize a finite temperature density functional.…”
Section: Introductionmentioning
confidence: 99%