The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Accelerating CO2 Electroreduction to CO Over Pd Single‐Atom Catalyst
Open accessAbstract
The electrochemical conversion of carbon dioxide (CO 2) into value‐added chemicals is regarded as one of the promising routes to mitigate CO 2 emission. A nitrogen‐doped carbon‐supported palladium (Pd) single‐atom catalyst that can catalyze CO 2 into CO with far higher mass activity than its Pd nanoparticle counterpart, for example, 373.0 and 28.5 mA mg−1Pd, respectively, at −0.8 V versus reversible hydrogen electrode, is reported. A combination of in situ X‐ray characterization and density functional theory (DFT) calculation reveals that the PdN 4 site is the most likely active center for CO production without the formation of palladium hydride (PdH), which is essential for typical Pd nanoparticle catalysts. Furthermore, the well‐dispersed PdN 4 single‐atom site facilitates the stabilization of the adsorbed CO 2 intermediate, thereby enhancing electrocatalytic CO 2 reduction capability at low overpotentials. This work provides important insights into the structure‐activity relationship for single‐atom based electrocatalysts.
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Cites
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Kresse, G., & Furthmüller, J. (1996) · Computational Materials Science · doi:10.1016/0927-0256(96)00008-0 · Cited by 75,638
Special points for Brillouin-zone integrations
Monkhorst, H. J., & Pack, J. D. (1976) · Physical Review B · doi:10.1103/physrevb.13.5188 · Cited by 71,721
Self-Consistent Equations Including Exchange and Correlation Effects
Kohn, W., & Sham, L. J. (1965) · Physical Review · doi:10.1103/physrev.140.a1133 · Cited by 64,135
Hohenberg, P., & Kohn, W. (1964) · Physical Review · doi:10.1103/physrev.136.b864 · Cited by 53,541
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
Ab initio molecular dynamics for open-shell transition metals
Kresse, G., & Hafner, J. (1993) · Physical Review B · doi:10.1103/physrevb.48.13115 · Cited by 8,359
A review of catalysts for the electroreduction of carbon dioxide to produce low-carbon fuels
Qiao, J., Liu, Y., Hong, F., & Zhang, J. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60323g · Cited by 2,990
Self-citationCovalent organic frameworks comprising cobalt porphyrins for catalytic CO 2 reduction in water
Lin, S., Diercks, C. S., Zhang, Y.-B., Kornienko, N., Nichols, E. M., Zhao, Y., Paris, A. R., Kim, D., Yang, P., Yaghi, O. M., et al. (2015) · Science · doi:10.1126/science.aac8343 · Cited by 2,644
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Electrocatalysis for CO 2 conversion: from fundamentals to value-added products
Wang, G., Chen, J., Ding, Y., Cai, P., Yi, L., Li, Y., Tu, C., Hou, Y., Wen, Z., & Dai, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00071j · Cited by 1,295
Zhang, N., Zhang, X., Tao, L., Jiang, P., Ye, C., Lin, R., Huang, Z., Li, A., Pang, D., Yan, H., et al. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202014718 · Cited by 355
Wang, Y., Liu, Y., Liu, W., Wu, J., Li, Q., Feng, Q., Chen, Z., Xiong, X., Wang, D., & Lei, Y. (2020) · Energy & Environmental Science · doi:10.1039/d0ee02833a · Cited by 303
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Metadata
- Authors
- He, Q., Lee, J. H., Liu, D., Liu, Y., Lin, Z., Xie, Z., Hwang, S., Kattel, S., Song, L., & Chen, J. G.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2020-03
- Volume
- 30
- Issue
- 17
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W3010214862
- Cited by
- 257
- References
- 47
- FWCI
- 7.95
- Type
- journal article
- Language
- en
- Open access
- bronze
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- He, Q., Lee, J. H., Liu, D., Liu, Y., Lin, Z., Xie, Z., Hwang, S., Kattel, S., Song, L., & Chen, J. G. (2020). Accelerating CO2 Electroreduction to CO Over Pd Single‐Atom Catalyst. Advanced Functional Materials. https://doi.org/10.1002/adfm.202000407
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