The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Quantum Mechanical Screening of Single-Atom Bimetallic Alloys for the Selective Reduction of CO2 to C1 Hydrocarbons
Open accessAbstract
Electrocatalytic reduction of CO 2 to energy-rich hydrocarbons such as alkanes, alkenes, and alcohols is a very challenging task. So far, only copper has proven to be capable of such a conversion. We report density functional theory (DFT) calculations combined with the Poisson–Boltzmann implicit solvation model to show that single-atom alloys (SAAs) are promising electrocatalysts for CO 2 reduction to C 1 hydrocarbons in aqueous solution. The majority component of the SAAs studied is either gold or silver, in combination with isolated single atoms, M (M = Cu, Ni, Pd, Pt, Co, Rh, and Ir), replacing surface atoms. We envision that the SAA behaves as a one-pot tandem catalyst: first gold (or silver) reduces CO 2 to CO, and the newly formed CO is then captured by M and is further reduced to C 1 hydrocarbons such as methane or methanol. We studied 28 SAAs, and found about half of them selectively favor the CO 2 reduction reaction over the competing hydrogen evolution reaction. Most of those promising SAAs contain M = Co, Rh, or Ir. The reaction mechanism of two SAAs, Rh@Au(100) and Rh@Ag(100), is explored in detail. Both of them reduce CO 2 to methane but via different pathways. For Rh@Au(100), reduction occurs through the pathway *CO → *CHO → *CHOH → *CH + H 2 O ( l ) → *CH 2 + H 2 O ( l ) → *CH 3 + H 2 O ( l ) → * + H 2 O ( l ) + CH 4( g ); whereas, for Rh@Ag(100), the pathway is *CO → *CHO → *CH 2 O→ *OCH 3 → *O + CH 4( g ) → *OH + CH 4( g ) → * + H 2 O ( l ) + CH 4( g ) . The minimum applied voltages to drive the two electrocatalytic systems are −1.01 and −1.12 V RHE for Rh@Au(100) and Rh@Ag(100), respectively, at which the Faradaic efficiencies for CO 2 reduction to CO are 60% for gold and 90% for silver. This suggests that SAA can efficiently reduce CO 2 to methane with as small as 40% loss to the hydrogen evolution reaction for Rh@Au(100) and as small as 10% for Rh@Ag(100). We hope these computational results can stimulate experimental efforts to explore the use of SAA to catalyze CO 2 electrochemical reduction to hydrocarbons.
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
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
How copper catalyzes the electroreduction of carbon dioxide into hydrocarbon fuels
Peterson, A. A., Abild-Pedersen, F., Studt, F., Rossmeisl, J., & Nørskov, J. K. (2010) · Energy & Environmental Science · doi:10.1039/c0ee00071j · Cited by 3,784
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
Frontiers, Opportunities, and Challenges in Biochemical and Chemical Catalysis of CO 2 Fixation
Appel, A. M., Bercaw, J. E., Bocarsly, A. B., Dobbek, H., DuBois, D. L., Dupuis, M., Ferry, J. G., Fujita, E., Hille, R., Kenis, P. J. A., et al. (2013) · Chemical Reviews · doi:10.1021/cr300463y · Cited by 2,193
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
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
Abild-Pedersen, F., Greeley, J., Studt, F., Rossmeisl, J., Munter, T. R., Moses, P. G., Skúlason, E., Bligaard, T., & Nørskov, J. K. (2007) · Physical Review Letters · doi:10.1103/physrevlett.99.016105 · Cited by 1,678
Activity Descriptors for CO 2 Electroreduction to Methane on Transition-Metal Catalysts
Peterson, A. A., & Nørskov, J. K. (2012) · The Journal of Physical Chemistry Letters · doi:10.1021/jz201461p · Cited by 1,667
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
Cited by
Progress and perspectives of electrochemical CO2 reduction on copper in aqueous electrolyte
Nitopi, S., Bertheussen, E., Scott, S. B., Liu, X., Engstfeld, A. K., Horch, S., Seger, B., Stephens, I. E. L., Chan, K., Hahn, C., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00705 · Cited by 5,223
Yang, H., Wu, Y., Li, G., Lin, Q., Hu, Q., Zhang, Q., Liu, J., & He, C. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b04907 · Cited by 788
Theory-guided design of catalytic materials using scaling relationships and reactivity descriptors
Zhao, Z.-J., Liu, S., Zha, S., Cheng, D., Studt, F., Henkelman, G., & Gong, J. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0152-x · Cited by 657
Recent Advances in MOF‐Derived Single Atom Catalysts for Electrochemical Applications
Song, Z., Zhang, L., Doyle‐Davis, K., Fu, X., Luo, J., & Sun, X. (2020) · Advanced Energy Materials · doi:10.1002/aenm.202001561 · Cited by 412
Electrocatalytic Alloys for CO2 Reduction
He, J., Johnson, N. J. J., Huang, A., & Berlinguette, C. P. (2018) · ChemSusChem · doi:10.1002/cssc.201701825 · Cited by 322
Metadata
- Authors
- Cheng, M.-J., Clark, E. L., Pham, H. H., Bell, A. T., & Head-Gordon, M.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-10-17
- Volume
- 6
- Issue
- 11
- Pages
- 7769-7777
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2522872739
- Cited by
- 233
- References
- 15
- FWCI
- 5.45
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantum Mechanical Screening of Single-Atom Bimetallic Alloys for the Selective Reduction of CO2 to C1 Hydrocarbons. https://app.cochat.ai/papers/10.1021/acscatal.6b01393
- The paper
- Cheng, M.-J., Clark, E. L., Pham, H. H., Bell, A. T., & Head-Gordon, M. (2016). Quantum Mechanical Screening of Single-Atom Bimetallic Alloys for the Selective Reduction of CO2 to C1 Hydrocarbons. ACS Catalysis. https://doi.org/10.1021/acscatal.6b01393
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.