Cited by 81Catalysts for Methane ReformingCatalytic Processes in Materials ScienceAdvanced Combustion Engine Technologies

Building large microkinetic models with first-principles׳ accuracy at reduced computational cost

Open access
Sutton, Jonathan E., Vlachos, Dionisios G.·2015·Chemical Engineering Science

Integrity signals

Registry

Crossref · 10.1016/j.ces.2014.09.011

Cites

38 of 38 references verified0 citation errors · 0 not checkable

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Authors
Sutton, J. E., & Vlachos, D. G.
Affiliations
University of Delaware (US)
Corresponding author
Vlachos, Dionisios G.
Venue
Chemical Engineering Science
Publisher
Elsevier BV
Published
2015-01
Volume
121
Pages
190-199
ISSN
0009-2509 (ISSN-L)
OpenAlex
W2094161094
Cited by
81
References
38
Citations by year
2026: 6 · 2025: 3 · 2024: 6 · 2023: 12 · 2022: 10 · 2021: 4 · 2020: 7 · 2019: 9 · 2018: 12 · 2017: 7 · 2016: 5
FWCI
1.34
Type
journal article
Language
en
Open access
Locations
  • Chemical Engineering Science (acceptedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders
  • Catalysis Center for Energy Innovation, an Energy Frontier Research Center
  • U.S. Department of Energy (DE-SC0001004)
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 › Fluid Flow and Transfer Processes › Advanced Combustion Engine Technologies
Keywords
microkinetic model, hierarchical multiscale modeling, group additivity, Brønsted-Evans-Polanyi relation, surface reactions, local sensitivity analysis, ethanol steam reforming, platinum catalysts, density functional theory, lateral interactions, computational complexity reduction

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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.

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