0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAbstract Renewable‐electricity‐driven N 2 reduction is an attractive approach for ambient NH 3 synthesis, but active electrocatalysts are needed to enable the N 2 reduction reaction. Monolithic electrodes with active components anchored on conductive supports provide many advantages like structural stability, large surface area, and low electrical resistance. Here, a novel “oxidation‐etching” strategy is proposed to carve the surface of Cu foam into structures of particles, cubes, and sheets for N 2 reduction electrocatalysis. The optimal catalyst achieves a Faradic efficiency as high as 18% at −0.35 V vs reversible hydrogen electrode (RHE) and a large NH 3 yield of 2.45 × 10 −10 mol s −1 cm −1 at −0.40 V vs RHE in 0.1 M HCl. Notably, it also shows superior long‐term electrochemical durability, with the preservation of electro‐activity for at least 20 hours. image
Xuqiang Ji, Ting Wang, Qian Liu, Yongsong Luo, Siyu Lu, Guang Chen, Shuyan Gao, Abdullah Mohamed Asiri, Xuping Sun (2020). Oxidation‐etching induced morphology regulation of Cu catalysts for high‐performance electrochemical <scp>N<sub>2</sub></scp> reduction. , 2(2), DOI: https://doi.org/10.1002/eom2.12026.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2020
Authors
9
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/eom2.12026
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access