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Record W2913561869 · doi:10.1021/acscatal.8b03298

Anionic Single-Atom Catalysts for CO Oxidation: Support-Independent Activity at Low Temperatures

2019· article· en· W2913561869 on OpenAlexafffund
Thomas Kropp, Zhuole Lu, Zhao Li, Ya-Huei Cathy Chin, Manos Mavrikakis

Bibliographic record

VenueACS Catalysis · 2019
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Toronto
FundersBasic Energy SciencesNatural Sciences and Engineering Research Council of CanadaAlexander von Humboldt-Stiftung
KeywordsCatalysisTransition metalOxideChemistryVacancy defectDensity functional theoryMetalOxygenAtom (system on chip)Inorganic chemistryAdsorptionBinding energyCrystallographyPhotochemistryPhysical chemistryComputational chemistryOrganic chemistryAtomic physics

Abstract

fetched live from OpenAlex

We study 14 atomically dispersed transition metals on halite-type oxides (MeO, Me = Fe, Mg, Mn, and Ni) using periodic density functional theory calculations and probe structure and activity toward CO oxidation for a subset of these systems experimentally. Pd and Pt can form stable negatively charged species upon binding to oxygen vacancies; the magnitude of the metal atom binding energy depends on the O vacancy formation energies of the supporting metal oxide and the lattice match between transition metal and support. The resulting oxide-supported single-atom systems catalyze CO oxidation by molecularly adsorbed O 2 with intrinsic barriers as low as 36 kJ/mol for Pt/MnO x (001). This high activity stems from the single sites’ ability to stabilize surface superoxide species. Furthermore, intrinsic barriers were found to depend primarily on the identity of the transition metal and to be nearly independent of the support identity. However, O 2 may heal the oxygen vacancy, which leads to catalyst deactivation. Catalyst deactivation by oxygen can be suppressed by using a more reducible support such as FeO(001) or MnO(001).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.262
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations68
Published2019
Admission routes2
Has abstractyes

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