C2 product formation in the CO2 electroreduction on boron-doped graphene anchored copper clusters

文献信息

发布日期 2022-08-29
DOI 10.1039/D2CP01316A
影响因子 3.676
作者

Balázs Barhács, Ewald Janssens


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摘要

A possible remedy for the increasing atmospheric CO2 concentration is capturing and reducing it into valuable chemicals like methane, methanol, ethylene, and ethanol. However, a suitable catalyst for this process is still under extensive research. Small sized copper clusters have gained attention in recent years due to their catalytic activity in the CO2 reduction reaction. Although C2+ products have a higher economic value, the formation of C1 products was investigated most thoroughly. Graphene is a promising support for small copper clusters in the electrochemical reduction of CO2. It exhibits good mechanical and electrical properties, but the weak interaction between copper and graphene is an issue. Our DFT computations reveal that small Cu clusters on the boron-doped graphene (BDG) support are promising catalysts for the electrochemical reduction of CO2. We found facile reaction pathways towards various C1 (carbon-monoxide, formic acid, formaldehyde, methanol or methane) and C2 (ethanol or ethylene) products on Cu4 and Cu7 clusters on BDG. The reactivity is cluster-size tunable with Cu4 being the more reactive agent, while Cu7 shows a higher selectivity towards C2 products.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

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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