Abstract
Heterogeneous catalysis is key for chemical transformations. Understanding how catalyst active sites dynamically evolve at the atomic scale under reaction conditions is a prerequisite for accurate determination of catalytic mechanisms and predictably developing catalysts. We combine in-situ observation and Machine Learning accelerated first-principle atomistic simulations to uncover the mechanism of restructuring for Pt catalysts under a pressure of carbon monoxide CO. We show that a high CO coverage at a Pt step edge triggers the formation of atomic protrusions of low-coordination Pt atoms, that then detach from the step edge to create sub-nano-islands on the terraces, where undercoordinated sites are stabilized by the CO adsorbates. These studies open an avenue to achieve an atom-scale understanding of structural dynamics of more complex metal nanoparticles under reaction.
Supplementary materials
Title
Supporting Materials for Atomic scale mechanism of Pt catalyst restructuring under a pressure of gas
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This PDF file includes:
Methods
Figs. S1 to S20
Tables S1 to S7
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Supplementary weblinks
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Computational Data
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All the structural data (trajectory files including the positions, energy, and force information) used for training & validation of HDNNP and the data generated from Basin Hopping simulations have been included.
Contains the files to utilize the n2p2-Neural Network Potential.
Contrains the NEB trajectories and python script used to generate Fig. 5 and S20.
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