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dc.contributor.author
Pasianot, Roberto Cesar
dc.contributor.author
Farkas, Diana
dc.date.available
2022-09-09T12:18:08Z
dc.date.issued
2020-02
dc.identifier.citation
Pasianot, Roberto Cesar; Farkas, Diana; Atomistic modeling of dislocations in a random quinary high-entropy alloy; Elsevier; Computational Materials Science; 173; 2-2020; 1-12
dc.identifier.issn
0927-0256
dc.identifier.uri
http://hdl.handle.net/11336/168089
dc.description.abstract
The structure and mobility of dissociated ½〈1 1 0〉 dislocations in a model FCC high entropy alloy is studied using atomistic simulations. The simulations are performed using model embedded atom method (EAM) potentials for a model five component random equiatomic alloy, and a corresponding “average atom” potential. The dislocation line that corresponds to minimum energy in the complex alloy is not straight but wavy and significant variations in dissociation distances are found. This effect is more significant for edge dislocations than for screw dislocations. Calculations also show that both the stable and unstable stacking fault energies vary according to the local composition of the alloy. The range of Peierls stresses computed for the dislocations in the alloy are significantly higher than in the pure components or those computed using an average atom potential.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ATOMISTIC SIMULATIONS
dc.subject
DISLOCATIONS
dc.subject
HIGH ENTROPY ALLOYS
dc.subject.classification
Física de los Materiales Condensados
dc.subject.classification
Ciencias Físicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Atomistic modeling of dislocations in a random quinary high-entropy alloy
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-08T15:17:22Z
dc.journal.volume
173
dc.journal.pagination
1-12
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Pasianot, Roberto Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín; Argentina. Comisión Nacional de Energía Atómica; Argentina
dc.description.fil
Fil: Farkas, Diana. Virginia Polytechnic Institute; Estados Unidos
dc.journal.title
Computational Materials Science
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0927025619306652
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.commatsci.2019.109366
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