2013
DOI: 10.1080/14786435.2013.810817
|View full text |Cite
|
Sign up to set email alerts
|

Temperature dependence of stacking-fault and anti-phase boundary energies in Al Sc fromab initiocalculations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 59 publications
0
2
0
Order By: Relevance
“…Hence, the AIM model provides a robust tool to qualitatively estimate the variation in SISF energies upon alloying and variation due to magnetic fluctuation [17][18][19][20][21][22][23][24]. A further advantage of the AIM model is the feasibility and straightforwardness of considering the temperature effects, due to applicability of including bulk lattice, magnetic and electronic excitations [23][24][25]. However, there exist some disadvantages from using this model.…”
Section: Sisf Energy Investigation Methodologymentioning
confidence: 99%
“…Hence, the AIM model provides a robust tool to qualitatively estimate the variation in SISF energies upon alloying and variation due to magnetic fluctuation [17][18][19][20][21][22][23][24]. A further advantage of the AIM model is the feasibility and straightforwardness of considering the temperature effects, due to applicability of including bulk lattice, magnetic and electronic excitations [23][24][25]. However, there exist some disadvantages from using this model.…”
Section: Sisf Energy Investigation Methodologymentioning
confidence: 99%
“…In the first, stacking fault energies in alloys have been computed within the axial next-nearest-neighbor Ising (ANNNI) lattice-model formalism [13][14][15][16][17][18][19][20][21][22][23][24][25][26] . In this approach, the energies of fcc, hcp and double-hcp structures are computed to derive pairwise interactions that parametrize the change in energy associated with different stacking sequences of close-packed planes.…”
Section: Introductionmentioning
confidence: 99%