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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.023
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