CO2 conversion to methanol on Cu(i) oxide nanolayers and clusters: an electronic structure insight into the reaction mechanism
Literature Information
Ellie L. Uzunova, Nicola Seriani, Hans Mikosch
The mechanism of carbon dioxide reduction to methanol on Cu(I) oxide nanolayers and clusters using water as the source of hydrogen was traced using density functional theory. The nature of the active sites is revealed, namely the role of surface copper dimers, which are present on the Cu2O(001) surface and in the nanoclusters of size Cu32O16 and Cu14O7. The major difference between metal catalysts and Cu2O is outlined: the CO2 molecule interacts strongly with the oxide and undergoes bending prior to hydrogenation. The first step of CO2 hydrogenation results in the formation of a stable carboxyl intermediate, –CO(OH), which in the following steps is converted to methanol via formic acid and formaldehyde intermediates. The consumption of hydrogen from water leaves surface peroxo- and hydroperoxo-species. The peroxides easily desorb molecular oxygen, while for hydroperoxides the reaction of oxygen evolution requires an activation energy of 130 kJ mol−1. The maxima in the absorption spectra correspond well with the required activation energies in the elementary steps.
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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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