Detailed understanding
of structure sensitivity, a central theme
in heterogeneous catalysis, is important to guide the synthesis of
improved catalysts. Progress is hampered by our inability to accurately
enumerate specific active sites on ubiquitous metal nanoparticle catalysts.
We employ herein atomistic simulations based on a force field trained
with quantum-chemical data to sample the shape of cobalt particles
as a function of their size. Algorithms rooted in pattern recognition
are used to identify surface atom arrangements relevant to CO dissociation,
the key step in the Fischer–Tropsch (FT) reaction. The number
of step-edge sites that can catalyze C–O bond scission with
a low barrier strongly increases for larger nanoparticles in the range
of 1–6 nm. Combined with microkinetics of the FT reaction,
we can reproduce experimental FT activity trends. The stabilization
of step-edge sites correlates with increasing stability of terrace
nanoislands on larger nanoparticles.