The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Electrochemical ammonia synthesis: Mechanistic understanding and catalyst design
Open accessAbstract
Summary NH3 production is dependent on the century-old Haber-Bosch process, which is energy and capital intensive and relies on H2 from steam reforming, hence, contributing to greenhouse gas emissions. Electrochemical NH3 synthesis can be realized by reaction of N2 and a proton source under mild conditions powered by renewable electricity, which offers a promising carbon-neutral and sustainable strategy. However, N2 has remarkable thermodynamic stability and requires high energy to be activated. Implementation of this “clean” NH3 synthesis route therefore still requires significant enhancement in energy efficiency, conversion rate, and durability, which is only achievable through the design of efficient electrocatalysts. This article provides a timely theoretical and experimental overview of recent advances in the electrocatalytic conversion of N2 to NH3 underlining the development of novel electrocatalysts. Advances of in situ and operando studies for mechanistic understanding of the reaction and the main challenges and strategies for improving electrocatalytic N2 reduction are highlighted.
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Cites
Xie, T., & Grossman, J. C. (2018) · Physical Review Letters · doi:10.1103/physrevlett.120.145301 · Cited by 2,828
Montoya, J. H., Tsai, C., Vojvodic, A., & Nørskov, J. K. (2015) · ChemSusChem · doi:10.1002/cssc.201500322 · Cited by 1,384
Review of electrochemical ammonia production technologies and materials
Giddey, S., Badwal, S. P. S., & Kulkarni, A. (2013) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2013.09.054 · Cited by 886
Ulissi, Z. W., Medford, A. J., Bligaard, T., & Nørskov, J. K. (2017) · Nature Communications · doi:10.1038/ncomms14621 · Cited by 614
Greatly Improving Electrochemical N 2 Reduction over TiO 2 Nanoparticles by Iron Doping
Wu, T., Zhu, X., Xing, Z., Mou, S., Li, C., Qiao, Y., Liu, Q., Luo, Y., Shi, X., Zhang, Y., et al. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201911153 · Cited by 499
Machine learning for renewable energy materials
Gu, G. H., Noh, J., Kim, I., & Jung, Y. (2019) · Journal of Materials Chemistry A · doi:10.1039/c9ta02356a · Cited by 311
Self-citationNanoporous Palladium Hydride for Electrocatalytic N 2 Reduction under Ambient Conditions
Xu, W., Fan, G., Chen, J., Li, J., Zhang, L., Zhu, S., Su, X., Cheng, F., & Chen, J. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201914335 · Cited by 262
Cited by
Recent Progress of Amorphous Nanomaterials
Kang, J., Yang, X., Hu, Q., Cai, Z., Liu, L.-M., & Guo, L. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00229 · Cited by 398
Li, X., Shen, P., Li, X., Ma, D., & Chu, K. (2023) · ACS Nano · doi:10.1021/acsnano.2c07911 · Cited by 369
Self-citationWang, B., Li, T., Gong, F., Othman, M. H. D., & Xiao, R. (2022) · Fuel Processing Technology · doi:10.1016/j.fuproc.2022.107380 · Cited by 256
Ammonia as Green Fuel in Internal Combustion Engines: State-of-the-Art and Future Perspectives
Tornatore, C., Marchitto, L., Sabia, P., & De Joannon, M. (2022) · Frontiers in Mechanical Engineering · doi:10.3389/fmech.2022.944201 · Cited by 204
Ammonia Production Plants—A Review
Amhamed, A. I., Shuibul Qarnain, S., Hewlett, S., Sodiq, A., Abdellatif, Y., Isaifan, R. J., & Alrebei, O. F. (2022) · Fuels · doi:10.3390/fuels3030026 · Cited by 92
Metadata
- Authors
- Shen, H., Choi, C., Masa, J., Li, X., Qiu, J., Jung, Y., & Sun, Z.
- Venue
- Chem
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 7
- Issue
- 7
- Pages
- 1708-1754
- ISSN
- 2451-9294 (ISSN-L)
- OpenAlex
- W3131697798
- Cited by
- 493
- References
- 7
- FWCI
- 15.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.