Javier Segurado

most citedDislocation dynamics prediction of the strength of Al-Cu alloys containing shearable

θ^{''}

precipitates

28 citations · 38 across the 4 of their papers we have counts for

collaborators

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3 papers · 1 filter

cond-mat.mtrl-sci2024★ 10 cited

A stochastic discrete slip approach to microplasticity: Application to submicron W pillars

Carlos J. Ruestes, Javier Segurado

A stochastic discrete slip approach is proposed to model plastic deformation in submicron domains. The model is applied to the study of submicron pillar ( $D \leq 1 μ m$ ) compression…

cond-mat.mtrl-sci2024

An FFT based approach to account for elastic interactions in OkMC: Application to dislocation loops in iron

Rodrigo Santos-Güemes, Christophe J. Ortiz, Javier Segurado

Object kinetic Montecarlo (OkMC) is a fundamental tool for modeling defect evolution in volumes and times far beyond atomistic models. The elastic interaction between defects is cl…

cond-mat.mtrl-sci2021★ 28 cited

Dislocation dynamics prediction of the strength of Al-Cu alloys containing shearable $θ^{''}$ precipitates

R. Santos-Güemes, L. Capolungo, J. Segurado +1

The critical resolved shear stress of an Al 4 wt. \% Cu alloy containing a homogeneous distribution of $θ^{''}$ precipitates was determined by means of dislocation dynamics simulation…

A stochastic discrete slip approach to microplasticity: Application to submicron W pillars

An FFT based approach to account for elastic interactions in OkMC: Application to dislocation loops in iron

Dislocation dynamics prediction of the strength of Al-Cu alloys containing shearable θ′′ precipitates

Dislocation dynamics prediction of the strength of Al-Cu alloys containing shearable $θ^{''}$ precipitates