Intrinsic Selectivity and Structure Sensitivity of Rhodium Catalysts for C2+ Oxygenate Production
Open accessAbstract
Synthesis gas (CO + H2) conversion is a promising route to converting coal, natural gas, or biomass into synthetic liquid fuels. Rhodium has long been studied as it is the only elemental catalyst that has demonstrated selectivity to ethanol and other C2+ oxygenates. However, the fundamentals of syngas conversion over rhodium are still debated. In this work a microkinetic model is developed for conversion of CO and H2 into methane, ethanol, and acetaldehyde on the Rh (211) and (111) surfaces, chosen to describe steps and close-packed facets on catalyst particles. The model is based on DFT calculations using the BEEF-vdW functional. The mean-field kinetic model includes lateral adsorbate-adsorbate interactions, and the BEEF-vdW error estimation ensemble is used to propagate error from the DFT calculations to the predicted rates. The model shows the Rh(211) surface to be ∼6 orders of magnitude more active than the Rh(111) surface, but highly selective toward methane, while the Rh(111) surface is intrinsically selective toward acetaldehyde. A variety of Rh/SiO2 catalysts are synthesized, tested for catalytic oxygenate production, and characterized using TEM. The experimental results indicate that the Rh(111) surface is intrinsically selective toward acetaldehyde, and a strong inverse correlation between catalytic activity and oxygenate selectivity is observed. Furthermore, iron impurities are shown to play a key role in modulating the selectivity of Rh/SiO2 catalysts toward ethanol. The experimental observations are consistent with the structure-sensitivity predicted from theory. This work provides an improved atomic-scale understanding and new insight into the mechanism, active site, and intrinsic selectivity of syngas conversion over rhodium catalysts and may also guide rational design of alloy catalysts made from more abundant elements.
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The most likely pathway is consistent with experimentally observed selectivity to acetaldehyde.
“The most likely pathway is shown in Fig. 4b and is consistent with experimentally observed selectivity to acetaldehyde14.”
From To address surface reaction network complexity using scaling relations machine learning and DFT calculations (2017) · cites this paper as [14]
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Ulissi, Z. W., Medford, A. J., Bligaard, T., & Nørskov, J. K. (2017) · Nature Communications · doi:10.1038/ncomms14621 · Cited by 614 · see citing works
Self-citation
- Authors
- Yang, N., Medford, A. J., Liu, X., Studt, F., Bligaard, T., Bent, S. F., & Nørskov, J. K.
- Affiliations
- Stanford University (US)
- SLAC National Accelerator Laboratory (US)
- Corresponding author
- Nørskov, Jens K.
- ORCID
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-03-09
- Volume
- 138
- Issue
- 11
- Pages
- 3705-3714
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2266904741
- Cited by
- 230
- References
- 59
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 27 · 2023: 21 · 2022: 22 · 2021: 32 · 2020: 27 · 2019: 26 · 2018: 18 · 2017: 21 · 2016: 6
- FWCI
- 7.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.osti.gov
- Locations
- Journal of the American Chemical Society (publishedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- Basic Energy Sciences
- U.S. Department of Defense
- Topics
- Physical Sciences › Chemical Engineering › Catalysis › Catalysts for Methane Reforming
- Physical Sciences › Materials Science › Materials Chemistry › Catalytic Processes in Materials Science
- Physical Sciences › Chemical Engineering › Catalysis › Catalysis and Oxidation Reactions
- Keywords
- rhodium catalysts, syngas conversion, C2 oxygenates, ethanol production, acetaldehyde, methane, Rh(111) surface, structure sensitivity, microkinetic model, iron impurities, Rh/SiO2 catalyst, coal liquefaction
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 ›
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