The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Atomic Ni Anchored Covalent Triazine Framework as High Efficient Electrocatalyst for Carbon Dioxide Conversion
Abstract
Electrochemically driven carbon dioxide (CO 2) conversion is an emerging research field due to the global warming and energy crisis. Carbon monoxide (CO) is one key product during electroreduction of CO 2; however, this reduction process suffers from tardy kinetics due to low local concentration of CO 2 on a catalyst's surface and low density of active sites. Herein, presented is a combination of experimental and theoretical validation of a Ni porphyrin‐based covalent triazine framework (NiPor‐CTF) with atomically dispersed NiN 4 centers as an efficient electrocatalyst for CO 2 reduction reaction (CO 2 RR). The high density and atomically distributed NiN 4 centers are confirmed by aberration‐corrected high‐angle annular dark field scanning transmission electron microscopy and extended X‐ray absorption fine structure. As a result, NiPor‐CTF exhibits high selectivity toward CO 2 RR with a Faradaic efficiency of >90% over the range from −0.6 to −0.9 V for CO conversion and achieves a maximum Faradaic efficiency of 97% at −0.9 V with a high current density of 52.9 mA cm−2, as well as good long‐term stability. Further calculation by the density functional theory method reveals that the kinetic energy barriers decreasing for *CO 2 transition to *COOH on NiN 4 active sites boosts the performance.
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Cites
Atomically dispersed Ni(i) as the active site for electrochemical CO2 reduction
Yang, H. B., Hung, S.-F., Liu, S., Yuan, K., Miao, S., Zhang, L., Huang, X., Wang, H.-Y., Cai, W., Chen, R., et al. (2018) · Nature Energy · doi:10.1038/s41560-017-0078-8 · Cited by 2,239
Hydrogen evolution by a metal-free electrocatalyst
Zheng, Y., Jiao, Y., Zhu, Y., Li, L. H., Han, Y., Chen, Y., Du, A., Jaroniec, M., & Qiao, S. Z. (2014) · Nature Communications · doi:10.1038/ncomms4783 · Cited by 2,236
Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration
Liu, M., Pang, Y., Zhang, B., De Luna, P., Voznyy, O., Xu, J., Zheng, X., Dinh, C. T., Fan, F., Cao, C., et al. (2016) · Nature · doi:10.1038/nature19060 · Cited by 2,000
Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3010978 · Cited by 2,000
Partially oxidized atomic cobalt layers for carbon dioxide electroreduction to liquid fuel
Gao, S., Lin, Y., Jiao, X., Sun, Y., Luo, Q., Zhang, W., Li, D., Yang, J., & Xie, Y. (2016) · Nature · doi:10.1038/nature16455 · Cited by 1,865
Self-citationA realizable renewable energy future
Turner, J. A. (1999) · Science · doi:10.1126/science.285.5428.687 · Cited by 1,642
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Industrial carbon dioxide capture and utilization: state of the art and future challenges
Gao, W., Liang, S., Wang, R., Jiang, Q., Zhang, Y., Zheng, Q., Xie, B., Toe, C. Y., Zhu, X., Wang, J., et al. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00025f · Cited by 1,388
Electrocatalytic reduction of carbon dioxide: opportunities with heterogeneous molecular catalysts
Sun, L., Reddu, V., Fisher, A. C., & Wang, X. (2020) · Energy & Environmental Science · doi:10.1039/c9ee03660a · Cited by 452
Electrocatalysis of Single-Atom Sites: Impacts of Atomic Coordination
Lu, B., Liu, Q., & Chen, S. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c01950 · Cited by 394
Lu, C., Jiang, K., Tranca, D., Wang, N., Zhu, H., Rodríguez-Hernández, F., Chen, Z., Yang, C., Zhang, F., Su, Y., et al. (2021) · Journal of Materials Chemistry A · doi:10.1039/d1ta05990d · Cited by 46
Self-citationAftabuzzaman, M., Shamsuddin Ahmed, M., Matyjaszewski, K., & Kyu Kim, H. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.137249 · Cited by 42
Metadata
- Authors
- Lu, C., Yang, J., Wei, S., Bi, S., Xia, Y., Chen, M., Hou, Y., Qiu, M., Yuan, C., Su, Y., Zhang, F., Liang, H., & Zhuang, X.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2019-01-20
- Volume
- 29
- Issue
- 10
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2912215550
- Cited by
- 274
- References
- 6
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lu, C., Yang, J., Wei, S., Bi, S., Xia, Y., Chen, M., Hou, Y., Qiu, M., Yuan, C., Su, Y., Zhang, F., Liang, H., & Zhuang, X. (2019). Atomic Ni Anchored Covalent Triazine Framework as High Efficient Electrocatalyst for Carbon Dioxide Conversion. Advanced Functional Materials. https://doi.org/10.1002/adfm.201806884
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