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Record W2278516120 · doi:10.1021/acscatal.5b02060

Surface-Bound Intermediates in Low-Temperature Methanol Synthesis on Copper: Participants and Spectators

2015· article· en· W2278516120 on OpenAlexafffund
Yong Yang, Donghai Mei, Charles H. F. Peden, Charles T. Campbell, Charles A. Mims

Bibliographic record

VenueACS Catalysis · 2015
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsUniversity of Toronto
FundersBiological and Environmental ResearchBasic Energy SciencesNatural Sciences and Engineering Research Council of CanadaU.S. Department of Energy
KeywordsFormateFormic acidChemistryMethanolCatalysisTitrationInorganic chemistryAdsorptionPhotochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The reactivity of surface-adsorbed species present on copper catalysts during methanol synthesis at low temperatures was studied by simultaneous infrared spectroscopy (IR) and mass spectroscopy (MS) measurements during “titration” (transient surface reaction) experiments with isotopic tracing. The results show that adsorbed formate is a major bystander species present on the surface under steady-state methanol synthesis reaction conditions, but it cannot be converted to methanol by reaction with pure H 2 or with H 2 plus added water. Formate-containing surface adlayers for these experiments were produced during steady-state catalysis in (a) H 2:CO 2 (with substantial formate coverage) and (b) moist H 2:CO (with no IR visible formate species). These reaction conditions both produce methanol at steady state with relatively high rates. Adlayers containing formate were also produced by (c) formic acid adsorption. Various “titration” gases were used to probe these adlayers at modest temperatures ( T = 410–450 K) and 6 bar total pressure. Methanol gas (up to ∼1% monolayer equivalent) was produced in “titration” from the H 2:CO 2 catalytic adlayers by H 2 plus water, but not by dry hydrogen. The decay in the formate IR features accelerated in the presence of added water vapor. The H 2:CO:H 2 O catalytic adlayer produced similar methanol titration yields in H 2 plus water but showed no surface formate features in IR (less than 0.2% monolayer coverage). Finally, formate from formic acid chemisorption produced no methanol under any titration conditions. Even under H 2:CO 2 catalytic reaction conditions, isotope tracing showed that preadsorbed formate from formic acid did not contribute to the methanol produced. Although non-formate species exist during low-temperature methanol synthesis on copper which can be converted to methanol gas by titration with pure H 2 plus water in sufficient quantities for that intermediate to be observable by IR, formate itself is only a “spectator” in this reaction and gives no observable methanol upon any titration we performed with H 2 or H 2 plus water.

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 score0.005

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 head0.023
GPT teacher head0.263
Teacher spread0.241 · 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

Citations107
Published2015
Admission routes2
Has abstractyes

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