The interplay between structural perfectness and CO oxidation catalysis on aluminum, phosphorous and silicon complexes of corroles
Literature Information
Afshan Mohajeri, Nasim Hassani
Catalytic oxidation of carbon monoxide on perfect and defective structures of corrole complexes with aluminum, phosphorous and silicon have been investigated by performing density functional theory calculations. The main objective is to highlight the effect of structural defects on the catalytic activity of corrole complexes for the CO oxidation reaction. Moreover, we also study how phenyl substitution at the meso or axial position of the corrole will affect its catalytic efficiency. It is shown that a vacancy defect leads to the formation of an interior cavity inside the corrole structure which hinders proper orientation of reacting O2 and CO molecules. While corrole complexes with aluminum may serve as potential catalysts for CO oxidation with a moderate energy barrier, phosphorous corrole displays superior catalytic activity with a very low energy barrier. We also demonstrate that phenyl substitution at the axial position reduces the catalytic activity of corrole complexes, whereas phenyl substitution at the meso sites does not change the activity of corrole complexes toward O2 and CO molecules. The results of the present study are promising to develop highly efficient single atom phosphorous–nitrogen–carbon catalysts for low temperature CO oxidation.
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.











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