2020
DOI: 10.1039/d0ee02833a
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Regulating the coordination structure of metal single atoms for efficient electrocatalytic CO2 reduction

Abstract: Electrochemical CO2 reduction reaction (CO2RR) to eliminate the excess CO2 and produce fuels/chemicals under mild conditions provides a sustainable way to maintain the carbon balance and alleviate the energy shortage....

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Cited by 221 publications
(136 citation statements)
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“…However, the CO 2 selective reduction to carbon monoxide (CO), which is considered as important raw material for hydrocarbons and alcohols productions by hydrogenation, is to be the closest to commercial utilization in the CO 2 RR [5] . Pd, Au and Ag‐based electrocatalysts have shown high catalytic activity and selectivity for the CO 2 RR to CO [2c–e,g, 3b] . Specially, Ag‐based catalysts have been widely studied in the CO 2 RR, due to its low‐cost and abundance when compared to Pd and Au [6–10] .…”
Section: Introductionmentioning
confidence: 99%
“…However, the CO 2 selective reduction to carbon monoxide (CO), which is considered as important raw material for hydrocarbons and alcohols productions by hydrogenation, is to be the closest to commercial utilization in the CO 2 RR [5] . Pd, Au and Ag‐based electrocatalysts have shown high catalytic activity and selectivity for the CO 2 RR to CO [2c–e,g, 3b] . Specially, Ag‐based catalysts have been widely studied in the CO 2 RR, due to its low‐cost and abundance when compared to Pd and Au [6–10] .…”
Section: Introductionmentioning
confidence: 99%
“…We speculated that, as a self-supporting electrode, the Ni foam achieved close contact with the catalyst layer, which reduced the charge transfer resistance and enhanced the durability under large current densities [55]. Additionally, the three-dimensional porous structure increased the area of exposed active sites, hence boosting the catalytic activity [56]. Then, we designed a simple solar-driven water splitting system, which comprised a commercial Si solar plane (16 cm 2 ) and electrodes.…”
Section: Resultsmentioning
confidence: 99%
“…Based on d‐band center theory and machine learning algorithms, the CO 2 reduction properties can be predicted in many cases. [ 130,131 ] However, developing new descriptors to accurately predict the CO 2 reduction properties with relatively low computational cost is still demanded. Gusarov et al.…”
Section: Machine Learning In Screening Co2 Reduction Electrocatalystsmentioning
confidence: 99%