Entropy-Derived Synthesis of the CuPd Sub-1nm Alloy for CO<sub>2</sub>-to-acetate Electroreduction

Bimetallic alloys exhibit remarkable properties in catalysis and energy storage, while their precise synthesis at the subnanoscale remains a formidable challenge due to their immiscible nature in thermodynamics. In this study, we engineer an atomically dispersed CuPd alloy with an average size of 1.5 nm loaded on CuO and phosphomolybdic acid (PMA) coassembly subnanosheets (CuO-PMA SNSs). Driven by the high vibrational entropy, Cu atoms could escape from CuO supports and bond with adjacent Pd single atoms, leading to the in situ formation of CuPd alloys. Furthermore, this strategy can also be utilized for synthesizing the ZnPt alloy with an average size of 1 nm, thereby providing a general pathway for the design of immiscible subnanoalloys. The fully exposed Cu-Pd pairs in CuPd subnanoalloys significantly enhance the adsorption and coverage of surface *CO during the electrochemical reduction of CO<sub>2</sub>, thereby leading to enhanced stability of ethenone intermediates and facilitating the production of C<sub>2</sub> compounds. The resulting CuPd subnanoalloy exhibits a remarkable Faradaic efficiency of 46.5 ± 2.1% for CO<sub>2</sub>-to-acetate electroreduction and achieves a high acetate productivity of 99 ± 2.8 μmol cm<sup>-2</sup> at -0.7 V versus RHE.

Authors

Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2024-10-19
DOI
https://doi.org/10.1021/jacs.4c07711
Citations
30
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
3.07

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Entropy-Derived Synthesis of the CuPd Sub-1nm Alloy for CO2-to-acetate Electroreduction

Qingda Liu, Siyang Nie, Xun Wang, Liang Wu
30 citations
Journal of the American Chemical Society
CO2 Reduction Techniques and Catalysts
3.07
article

Entropy-Derived Synthesis of the CuPd Sub-1nm Alloy for CO2-to-acetate Electroreduction

Qingda Liu, Siyang Nie, Xun Wang, Liang Wu
article en
30 citations

Abstract

Bimetallic alloys exhibit remarkable properties in catalysis and energy storage, while their precise synthesis at the subnanoscale remains a formidable challenge due to their immiscible nature in thermodynamics. In this study, we engineer an atomically dispersed CuPd alloy with an average size of 1.5 nm loaded on CuO and phosphomolybdic acid (PMA) coassembly subnanosheets (CuO-PMA SNSs). Driven by the high vibrational entropy, Cu atoms could escape from CuO supports and bond with adjacent Pd single atoms, leading to the in situ formation of CuPd alloys. Furthermore, this strategy can also be utilized for synthesizing the ZnPt alloy with an average size of 1 nm, thereby providing a general pathway for the design of immiscible subnanoalloys. The fully exposed Cu-Pd pairs in CuPd subnanoalloys significantly enhance the adsorption and coverage of surface *CO during the electrochemical reduction of CO<sub>2</sub>, thereby leading to enhanced stability of ethenone intermediates and facilitating the production of C<sub>2</sub> compounds. The resulting CuPd subnanoalloy exhibits a remarkable Faradaic efficiency of 46.5 ± 2.1% for CO<sub>2</sub>-to-acetate electroreduction and achieves a high acetate productivity of 99 ± 2.8 μmol cm<sup>-2</sup> at -0.7 V versus RHE.

Journal of the American Chemical SocietyVol. 146(43)
Shanghai Jiao Tong University (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
CO2 Reduction Techniques and Catalysts
3.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.