Homogeneously Mixed Cu–Co Bimetallic Catalyst Derived from Hydroxy Double Salt for Industrial-Level High-Rate Nitrate-to-Ammonia Electrosynthesis
Ulsan National Institute of Science and Technology · SLAC National Accelerator Laboratory · +1 more institution
Abstract
Electrocatalytic nitrate reduction reaction (NO3RR) presents an innovative approach for sustainable NH3 production. However, selective NH3 production is hindered by the multiple intermediates involved in the NO3RR process and the competitive hydrogen evolution reaction. Hence, the development of highly efficient NO3RR catalysts is paramount. Herein, we report highly efficient bimetallic catalysts derived from hydroxy double salt (HDS). Under NO3RR conditions, Cu1Co1-HDS undergoes in situ reconstruction, forming nanocomposites of homogeneously distributed metallic Cu0 and Co(OH)2. Reconstruction-induced Cu0 rapidly converts NO3– to NO2–, which is further hydrogenated to NH3 by Co(OH)2. Homogeneously mixed Cu…
Citation impact
- FWCI
- 11.38
- Percentile
- 100%
- References
- 75
Authors
14- WJWonsik Jang
Ulsan National Institute of Science and Technology
- DODongrak Oh
SLAC National Accelerator Laboratory, Ulsan National Institute of Science and Technology, Stanford University
- JLJin‐Young Lee
Ulsan National Institute of Science and Technology
- JKJongkyoung Kim
Ulsan National Institute of Science and Technology
- JEJesse E. Matthews
SLAC National Accelerator Laboratory, Stanford University
Topics & keywords
- Chemistry
- Electrosynthesis
- Catalysis
- Bimetallic strip
- Ammonia production
- Yield (engineering)
- Ammonia
- Nitrate
Funding
- UNUlsan National Institute of Science and TechnologyAward: 1.240007.01
- MOMinistry of Trade, Industry and EnergyAwards: 20015619, RS-2024-00432416
- NRNational Research Foundation of KoreaAwards: 2022R1C1C1003654, 2022H1D3A3A01081140, RS-2023-00222006, RS-2023-00281706
- NSNatural Sciences and Engineering Research Council of Canada
- BEBasic Energy Sciences
- NSNational Science Foundation Graduate Research Fellowship ProgramAward: DGE-1656518