Bimetallic nanoparticles are highly
relevant for applications in,
e.g., catalysis, sensing, and energy harvesting. Their properties
are determined by their shape, size, and, most notably, their chemical
configuration, i.e., the elemental distribution throughout the particle.
To fully exploit their potential, a comprehensive understanding of
the coupling among size, shape, and chemical ordering is crucial.
Here, we employ hybrid molecular dynamics–Monte Carlo simulations
to reveal the energetics of two prototypical nanoalloys, Ag–Cu
and Au–Pd, by comprehensive sampling across the full composition
range, while considering both size and shape as parameters. Our simulations
expose the interplay among bulk thermodynamics, surface energetics,
and strain. Relative to the bulk, the behavior of Au–Pd nanoalloys
is dominated by surface segregation, and is thus largely independent
of particle size and shape. By contrast, strain plays a key role in
the Ag–Cu system, in which size and, even more so, shape have
a strong impact on the overall energetics and accordingly the elemental
distribution. This effect is reflected by the sign of the mixing energy
curve, which in the case of the Ag–Cu system changes from positive
to negative when going from the bulk to the nanoscale. Although this
suggests miscibility, it is rather a manifestation of segregation
to different sites.