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Record W2909253107 · doi:10.1002/celc.201801602

Promotion of Glycerol Oxidation by Selective Ru Decoration of (100) Domains at Nanostructured Pt Electrodes

2019· article· en· W2909253107 on OpenAlex
Brian Tam, Matteo Duca, Andrew Wang, Mengyang Fan, Sébastien Garbarino, Daniel Guay

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

VenueChemElectroChem · 2019
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsCollège de MaisonneuveInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBimetallic stripElectrodeDeposition (geology)GlycerolPlatinumChemistryChemical engineeringMaterials scienceInorganic chemistryCatalysisOrganic chemistryPhysical chemistryGeology

Abstract

fetched live from OpenAlex

Abstract Glycerol (GlOH) electrooxidation is a potential route to GlOH valorisation. In this work, we show that GlOH oxidation can be enhanced at bimetallic Pt−Ru electrodes with respect to bare Pt in sulphuric acid. We electrodeposited high‐surface area Pt electrodes comprising of 40 % (100) sites, along with a smaller amount of (111) domains. Spontaneous Ru deposition was carried out by immersion in a RuCl 3 solution for a varying amount of time. Voltammetric methods demonstrated that (100) sites are decorated most readily. Pt−Ru electrodes display an earlier onset potential for CO ads oxidation, which translates into an anticipation of the main GlOH oxidation wave. Under prolonged Ru deposition, Ru decoration also proceeds close to (111) Pt domains, as highlighted by CO stripping. We suggest that such ensembles may play a critical role in achieving optimal GlOH activity at Pt−Ru.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.002
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.004
GPT teacher head0.207
Teacher spread0.202 · 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