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Record W1963991820 · doi:10.1021/jp710286c

Adsorption and Dissociation of CO on a Fe−Co Alloy (110) Surface:  A Theoretical Study

2008· article· en· W1963991820 on OpenAlexaff
John M. H. Lo, Tom Ziegler

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2008
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEndothermic processDissociation (chemistry)AdsorptionChemistryDensity functional theoryBond cleavageAlloyReactivity (psychology)CrystallographyMetalDecompositionBinding energyPhysical chemistryComputational chemistryCatalysisOrganic chemistryAtomic physics

Abstract

fetched live from OpenAlex

The results from a density functional theory study on the structure and reactivity of CO adsorbed on the face-centered FeCo(110) surface were reported. It is found that CO adsorbs preferentially on the on-top (OT)−Co and long-bridge (LB)-Co sites with the computed binding energies ranging from 43 to 33 kcal/mol for 0.125 and 0.500 ML, respectively. The strong Co−CO bond is attributed to the alloy formation between Fe and Co that alters the local electronic structure of surface Co atoms. Several CO decomposition paths have been explored, and all paths are found to be endothermic, as in the cases of Fe(110) and Co(0001). The path that leads to scission of CO at the LB-Co site with formation of C and O adatoms coadsorbed at LB-Co and transcription factor (TF)-Co sites, respectively, is kinetically the most feasible ( E f = 45.4 kcal/mol) and least endothermic (Δ E = 10.6 kcal/mol). High reaction temperatures are thus necessary to facilitate the CO dissociation on FeCo(110).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.002
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.283
Teacher spread0.270 · 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 teacher head, 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

Citations13
Published2008
Admission routes1
Has abstractyes

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