Mostrar el registro sencillo del ítem

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