The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Electrocatalysis at Organic–Metal Interfaces: Identification of Structure–Reactivity Relationships for CO2 Reduction at Modified Cu Surfaces
Abstract
The limited selectivity of existing CO 2 reduction catalysts and rising levels of CO 2 in the atmosphere necessitate the identification of specific structure–reactivity relationships to inform catalyst development. Herein, we develop a predictive framework to tune the selectivity of CO 2 reduction on Cu by examining a series of polymeric and molecular modifiers. We find that protic species enhance selectivity for H 2, hydrophilic species enhance formic acid formation, and cationic hydrophobic species enhance CO selectivity. ReaxFF reactive molecular dynamics simulations indicate that the hydrophilic/hydrophobic modifiers influence the formation of surface hydrides, which yield formic acid or H 2 . These observations offer insights into how these modifiers influence catalytic behavior at the non-precious Cu surface and may aid in the future implementation of organic structures in CO 2 reduction devices.
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Cites
Combining theory and experiment in electrocatalysis: Insights into materials design
Seh, Z. W., Kibsgaard, J., Dickens, C. F., Chorkendorff, I., Nørskov, J. K., & Jaramillo, T. F. (2017) · Science · doi:10.1126/science.aad4998 · Cited by 12,114
New insights into the electrochemical reduction of carbon dioxide on metallic copper surfaces
Kuhl, K. P., Cave, E. R., Abram, D. N., & Jaramillo, T. F. (2012) · Energy & Environmental Science · doi:10.1039/c2ee21234j · Cited by 3,160
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
Electroreduction of carbon monoxide to liquid fuel on oxide-derived nanocrystalline copper
Li, C. W., Ciston, J., & Kanan, M. W. (2014) · Nature · doi:10.1038/nature13249 · Cited by 1,728
Electrocatalytic Conversion of Carbon Dioxide to Methane and Methanol on Transition Metal Surfaces
Kuhl, K. P., Hatsukade, T., Cave, E. R., Abram, D. N., Kibsgaard, J., & Jaramillo, T. F. (2014) · Journal of the American Chemical Society · doi:10.1021/ja505791r · Cited by 1,649
Recent Advances in Inorganic Heterogeneous Electrocatalysts for Reduction of Carbon Dioxide
Zhu, D. D., Liu, J. L., & Qiao, S. Z. (2016) · Advanced Materials · doi:10.1002/adma.201504766 · Cited by 1,594
Ionic Liquid–Mediated Selective Conversion of CO 2 to CO at Low Overpotentials
Rosen, B. A., Salehi-Khojin, A., Thorson, M. R., Zhu, W., Whipple, D. T., Kenis, P. J. A., & Masel, R. I. (2011) · Science · doi:10.1126/science.1209786 · Cited by 1,558
Cheng, T., Xiao, H., & Goddard, W. A. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b08534 · Cited by 453
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Cited by
Highly Selective Reduction of CO2 to C2+ Hydrocarbons at Copper/Polyaniline Interfaces
Wei, X., Yin, Z., Lyu, K., Li, Z., Gong, J., Wang, G., Xiao, L., Lu, J., & Zhuang, L. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c00049 · Cited by 373
Wu, Z., Wu, H., Cai, W., Wen, Z., Jia, B., Wang, L., Jin, W., & Ma, T. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202102832 · Cited by 354
Metadata
- Authors
- Buckley, A. K., Lee, M., Cheng, T., Kazantsev, R. V., Larson, D. M., Goddard III, W. A., Toste, F. D., & Toma, F. M.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-03-31
- Volume
- 141
- Issue
- 18
- Pages
- 7355-7364
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2930586923
- Cited by
- 209
- References
- 8
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- closed
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- Buckley, A. K., Lee, M., Cheng, T., Kazantsev, R. V., Larson, D. M., Goddard III, W. A., Toste, F. D., & Toma, F. M. (2019). Electrocatalysis at Organic–Metal Interfaces: Identification of Structure–Reactivity Relationships for CO2 Reduction at Modified Cu Surfaces. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.8b13655
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