posted on 2023-03-22, 23:13authored byJiawei Wu, Dingming Chen, Jianfu Chen, Haifeng Wang
Understanding how the composition and structure of heterogeneous
catalysts change during in situ reaction is of critical
importance but greatly challenging because of the complexity of multiple
time–space scale. Herein, we propose a self-adaptive simulation
strategy driven by the first-principles microkinetic modeling and
genetic-algorithm-based global structural search accelerated by machine
learning that allows the interplay of surface reaction and catalyst
evolution, and uncover the structural/compositional evolution of a
Pd(111) single-crystal catalyst under the reaction conditions for
CO oxidation, which is a classic open problem lasting for decades.
The possible active phases at the kinetically steady state are identified
and their common nature is unraveled. We show that, in the presence
of CO/O2 reaction mixtures, a dynamically stable partially
oxidized nonstoichiometric palladium oxide (PdO0.44 layer)
grown on Pd(111) is formed with the O adatoms inserted into the Pd(111)
sublayer that drives the formation of the surface oxide. Remarkably,
the first-principles microkinetic analyses demonstrate that this self-evolved
PdO0.44 surface at the steady state exhibits higher catalytic
activity for CO oxidation as compared with Pd(111) and overoxidized
PdO catalyst, which may explain the long-standing puzzle of the “PdOx” active phase for Pd catalyst during
CO oxidation.