The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Rational Design of a Hierarchical Tin Dendrite Electrode for Efficient Electrochemical Reduction of CO2
Abstract
Catalysis is a key technology for the synthesis of renewable fuels through electrochemical reduction of CO 2. However, successful CO 2 reduction still suffers from the lack of affordable catalyst design and understanding the factors governing catalysis. Herein, we demonstrate that the CO 2 conversion selectivity on Sn (or SnOx/Sn) electrodes is correlated to the native oxygen content at the subsurface. Electrochemical analyses show that the reduced Sn electrode with abundant oxygen species effectively stabilizes a CO 2.− intermediate rather than the clean Sn surface, and consequently results in enhanced formate production in the CO 2 reduction. Based on this design strategy, a hierarchical Sn dendrite electrode with high oxygen content, consisting of a multi‐branched conifer‐like structure with an enlarged surface area, was synthesized. The electrode exhibits a superior formate production rate (228.6 μmol h−1 cm−2) at −1.36 V RHE without any considerable catalytic degradation over 18 h of operation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Hori, Y., Wakebe, H., Tsukamoto, T., & Koga, O. (1994) · Electrochimica Acta · doi:10.1016/0013-4686(94)85172-7 · Cited by 2,140
Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3010978 · Cited by 2,000
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
Active and Selective Conversion of CO 2 to CO on Ultrathin Au Nanowires
Zhu, W., Zhang, Y.-J., Zhang, H., Lv, H., Li, Q., Michalsky, R., Peterson, A. A., & Sun, S. (2014) · Journal of the American Chemical Society · doi:10.1021/ja5095099 · Cited by 860
Grain-Boundary-Dependent CO 2 Electroreduction Activity
Feng, X., Jiang, K., Fan, S., & Kanan, M. W. (2015) · Journal of the American Chemical Society · doi:10.1021/ja5130513 · Cited by 694
Nitrogen-Based Catalysts for the Electrochemical Reduction of CO 2 to CO
Tornow, C. E., Thorson, M. R., Ma, S., Gewirth, A. A., & Kenis, P. J. A. (2012) · Journal of the American Chemical Society · doi:10.1021/ja308217w · Cited by 190
Cited by
General Techno-Economic Analysis of CO 2 Electrolysis Systems
Jouny, M., Luc, W., & Jiao, F. (2018) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.7b03514 · Cited by 1,628
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
Sulfur-Modulated Tin Sites Enable Highly Selective Electrochemical Reduction of CO2 to Formate
Zheng, X., De Luna, P., García de Arquer, F. P., Zhang, B., Becknell, N., Ross, M. B., Li, Y., Banis, M. N., Li, Y., Liu, M., et al. (2017) · Joule · doi:10.1016/j.joule.2017.09.014 · Cited by 515
Cu–Sn Bimetallic Catalyst for Selective Aqueous Electroreduction of CO2 to CO
Sarfraz, S., Garcia-Esparza, A. T., Jedidi, A., Cavallo, L., & Takanabe, K. (2016) · ACS Catalysis · doi:10.1021/acscatal.6b00269 · Cited by 459
Highly Efficient, Selective, and Stable CO2 Electroreduction on a Hexagonal Zn Catalyst
Won, D. H., Shin, H., Koh, J., Chung, J., Lee, H. S., Kim, H., & Woo, S. I. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201602888 · Cited by 363
Self-citation
Metadata
- Authors
- Won, D. H., Choi, C. H., Chung, J., Chung, M. W., Kim, E., & Woo, S. I.
- Venue
- ChemSusChem
- Publisher
- Wiley
- Published
- 2015-07-27
- Volume
- 8
- Issue
- 18
- Pages
- 3092-3098
- ISSN
- 1864-5631 (ISSN-L)
- 1864-564X
- OpenAlex
- W1931296418
- Cited by
- 267
- References
- 8
- FWCI
- 7.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
