Atomistic mechanisms of binary alloy surface segregation from nanoseconds to seconds using accelerated dynamics
Richard B. Garza, Jiyoung Lee, Mai H. Nguyen, Andrew Garmon, Danny, Perez, Meng Li, Judith C. Yang, Graeme Henkelman, Wissam A. Saidi

TL;DR
This study uses multiscale atomistic simulations to investigate the transient and equilibrium surface segregation processes in CuNi alloys over timescales from nanoseconds to seconds, revealing rare events and vacancy dynamics.
Contribution
It introduces a multiscale computational approach combining MD, ParSplice, AKMC, and KMC to observe rare segregation events over extended timescales, bridging the gap between simulations and experiments.
Findings
Vacancy diffusion occurs within tens of nanoseconds.
Rare vacancy re-entry into subsurface occurs on microsecond timescale.
Equilibrium segregation profile develops over seconds, matching experimental observations.
Abstract
Although the equilibrium composition of many alloy surfaces is well understood, the rate of transient surface segregation during annealing is not known, despite its crucial effect on alloy corrosion and catalytic reactions occurring on overlapping timescales. In this work, CuNi bimetallic alloys representing (100) surface facets are annealed in vacuum using atomistic simulations to observe the effect of vacancy diffusion on surface separation. We employ multi-timescale methods to sample the early transient, intermediate, and equilibrium states of slab surfaces during the separation process, including standard MD as well as three methods to perform atomistic, long-time dynamics: parallel trajectory splicing (ParSplice), adaptive kinetic Monte Carlo (AKMC), and kinetic Monte Carlo (KMC). From nanosecond (ns) to second timescales, our multiscale computational methodology can observe rare…
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Taxonomy
Topicsnanoparticles nucleation surface interactions · Ion-surface interactions and analysis · Catalytic Processes in Materials Science
