Journal
NANO LETTERS
Volume 23, Issue 12, Pages 5779-5784Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.3c01660
Keywords
mechanical deformation; plasticity; surfacediffusion; defect nucleation; nanostructures; kinetic Monte Carlo
Ask authors/readers for more resources
We use a hybrid diffusion- and nucleation-based kinetic Monte Carlo model to explain the significant influence of adatom diffusion on incipient surface dislocation nucleation in metal nanowires. We discover a stress-regulated diffusion mechanism that promotes the accumulation of diffusing adatoms near nucleation sites, explaining the experimental observations of temperature-dependent nucleation strength but weak strain-rate dependence. Additionally, our model shows that a decreasing rate of adatom diffusion with increasing strain rate leads to stress-controlled nucleation becoming the dominant mechanism at higher strain rates. Overall, our model provides new mechanistic insights into how surface adatom diffusion directly affects the nucleation process and mechanical properties of metal nanowires.
We employ a hybrid diffusion- and nucleation-based kineticMonteCarlo model to elucidate the significant impact of adatom diffusionon incipient surface dislocation nucleation in metal nanowires. Wereveal a stress-regulated diffusion mechanism that promotes preferentialaccumulation of diffusing adatoms near nucleation sites, which explainsthe experimental observations of strong temperature but weak strain-ratedependence as well as temperature-dependent scatter of the nucleationstrength. Furthermore, the model demonstrates that a decreasing rateof adatom diffusion with an increasing strain rate will lead to stress-controllednucleation being the dominant nucleation mechanism at higher strainrates. Overall, our model offers new mechanistic insights into howsurface adatom diffusion directly impacts the incipient defect nucleationprocess and resulting mechanical properties of metal nanowires.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available