Electrochemical reduction of CO2 on graphene supported transition metals – towards single atom catalysts
Literature Information
Haiying He, Yesukhei Jagvaral
In this study, we have investigated the use of single metal atoms supported on defective graphene as catalysts for the electrochemical reduction of CO2 using the first-principles approach and the computational hydrogen electrode model. Reaction pathways to produce a variety of C1 products CO, HCOOH, HCHO, CH3OH and CH4 have been studied in detail for five representative transition metals Ag, Cu, Pd, Pt, and Co. Different pathways were revealed in contrast to those found for metallic crystalline surfaces and nanoparticles. These single atom catalysts have demonstrated a general improvement in rate limiting potentials to generate C1 hydrocarbons. They also show distinct differences in terms of their efficiency and selectivity in CO2 reduction, which can be correlated with their elemental properties as a function of their group number in the periodic table. Six best candidates for CH4 production are identified by conducting computational screening of 28 d-block transition metals. Ag has the lowest overpotential (0.73 V), and is followed by Zn, Ni, Pd, Pt and Ru with overpotentials all below 1 V. Cu in the supported single atom form shows a strong preference towards producing CH3OH with an overpotential of 0.68 V well below the value of 1.04 V for producing CH4.
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Source Journal
Physical Chemistry Chemical Physics

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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