Sub-Nanometer Nanoclusters of Copper Atop Single-Atom Copper Moieties toward Electrochemical CO <sub>2</sub> Hydrogenation to Methane
The electrochemical CO2 reduction (eCO2R) offers a compelling route for converting CO2 into value-added fuels and chemicals. Among CO2-derived products, methane (CH4) occupies a distinct position, serving both as a key intermediate for emerging cascade electro-oxidation to oxygenates and as a strategically important extraterrestrial fuel that can be generated in situ from off-planet CO2 resources. Although Cu-based catalysts capable of selectively producing CH4 have been reported, they seldom sustain high selectivity at practically relevant current densities. Here, we created a single-step co-pyrolysis strategy toward generating and anchoring Cu sub-nanometer clusters (CuSNC) atop Cu-Nx single-atom (SA) motifs embedded within N-doped carbon (NC), with controllable nanostructures through tuning of the synthesis parameters. Complementary spectroscopic analyses and density functional theory (DFT) calculations help reveal a structure−activity correlation that could guide the catalyst design. The CuSNC@NC sample synthesized at 550 °C pyrolysis temperature (best described and modeled as Cu3-CuN4 domains) represents the most effective combination of cluster size, metal-nitrogen coordination, and adsorption energetics needed to selectively promote CH4 generation versus other eCO2R products. Incorporating pulsed electrolysis and hydrophobicity-modulated transport tuning at the triple-phase boundary (TPB) further enhanced CH4 production achieving a partial CH4 current density of ∼321 mA cm−2, 53% Faradaic efficiency (FECH4), and less than 4% combined FE for other eCO2R products, simplifying downstream CH4 purification or upgrading. This work establishes generalizable principles for controlling Cu cluster atomicity and metal−nitrogen coordination, both of which are recognized determinants of CH4-efficient eCO2R.
Authors
- Jin Feng (ORCID: https://orcid.org/0000-0001-6050-759X)
- Ahmed Badreldin (ORCID: https://orcid.org/0000-0002-2405-1393)
- Yun Hang Hu (ORCID: https://orcid.org/0000-0002-5358-8667)
- Shengyao Wang (ORCID: https://orcid.org/0000-0002-2748-483X)
- Ying Li (ORCID: https://orcid.org/0000-0002-6775-5649)
- Shaoqin Chen (ORCID: https://orcid.org/0000-0002-9066-5238)
- G. S. Smith
- Carter Racine
- Mohammad Bilal Minhas
- Tao Li (ORCID: https://orcid.org/0000-0002-4913-4486)
- Shiwen Wu
Institutions
- Michigan Technological University (US)
- Argonne National Laboratory (US)
- Mitchell Institute (US)
- University of Mississippi (US)
- Walker (United States) (US)
- Virginia Tech (US)
- Texas A&M University (US)
Publication Details
- Journal
- ACS Catalysis
- Published
- 2026-04-10
- DOI
- https://doi.org/10.1021/acscatal.5c09141
- Primary Topic
- CO2 Reduction Techniques and Catalysts
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Texas A and M University
- Argonne National Laboratory