Hierarchical Modulation in Cu‐Aerogel Enables Breakthrough CO <sub>2</sub> Electroreduction for Combating Stability‐Efficiency‐Selectivity Tradeoff

Design of electrocatalyst combining low overpotential, high selectivity and stability for combating the stability-efficiency-selectivity tradeoff in CO<sub>2</sub> electroreduction remains a crucial challenge. Herein, a hierarchical modulation strategy is proposed for the precise assembly of Boron (B) and Tin (Sn), resulting in novel copper (Cu)-aerogel (BSnCu3) structures with both structural and functional hierarchies for advanced CO<sub>2</sub> electroreduction. Superficial assembled Tin creates Cu<sup>0</sup> protective layer for high stability, the body assembled Boron improves the binding affinity to intermediates and shifts Cu d-band upward for enhanced charge transfer. BSnCu3 achieves exceptional performance, including an ethanol selectivity of 93.2%, a Faradaic efficiency (FE) of 90.3%, and an ultralow overpotential of 0.12 V, alongside remarkable stability. Leveraging the synergistic effects of regionally assembled Boron/Tin and the efficient charge/mass transfer of the 3D nanowire network, BSnCu3 attains a record-breaking tradeoff index of 2.74, surpassing all reported values. This work presents an inspiring strategy and sets a new benchmark for advanced electrocatalyst design.

Authors

Institutions

Publication Details

Journal
Small
Published
2025-08-15
DOI
https://doi.org/10.1002/smll.202504818
Citations
1
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.36

Funders

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

Hierarchical Modulation in Cu‐Aerogel Enables Breakthrough CO 2 Electroreduction for Combating Stability‐Efficiency‐Selectivity Tradeoff

Keqiang Xu, Cheng Ding, Jinyu Dai, Xiu‐Li Yang et al.
1 citations
Small
CO2 Reduction Techniques and Catalysts
0.36
article

Hierarchical Modulation in Cu‐Aerogel Enables Breakthrough CO 2 Electroreduction for Combating Stability‐Efficiency‐Selectivity Tradeoff

Keqiang Xu, Cheng Ding, Jinyu Dai, Xiu‐Li Yang, Amare Aregahegn Dubale, Weiqi Wang, Ming‐Hua Xie, Haotian Ling, Feng Cheng
article en
1 citations

Abstract

Design of electrocatalyst combining low overpotential, high selectivity and stability for combating the stability-efficiency-selectivity tradeoff in CO<sub>2</sub> electroreduction remains a crucial challenge. Herein, a hierarchical modulation strategy is proposed for the precise assembly of Boron (B) and Tin (Sn), resulting in novel copper (Cu)-aerogel (BSnCu3) structures with both structural and functional hierarchies for advanced CO<sub>2</sub> electroreduction. Superficial assembled Tin creates Cu<sup>0</sup> protective layer for high stability, the body assembled Boron improves the binding affinity to intermediates and shifts Cu d-band upward for enhanced charge transfer. BSnCu3 achieves exceptional performance, including an ethanol selectivity of 93.2%, a Faradaic efficiency (FE) of 90.3%, and an ultralow overpotential of 0.12 V, alongside remarkable stability. Leveraging the synergistic effects of regionally assembled Boron/Tin and the efficient charge/mass transfer of the 3D nanowire network, BSnCu3 attains a record-breaking tradeoff index of 2.74, surpassing all reported values. This work presents an inspiring strategy and sets a new benchmark for advanced electrocatalyst design.

SmallVol. 21(38)
Shanghai Jiao Tong University (CN), Addis Ababa Science and Technology University (ET), Yancheng Institute of Technology (CN), Addis Ababa University (ET)
National Natural Science Foundation of China, Qinglan Project of Jiangsu Province of China
Openalex Percentile: Top 40%
CO2 Reduction Techniques and Catalysts
0.36
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.