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Record W2657417662 · doi:10.1021/acs.jpcc.7b04332

The Art of Decoration: Rhodium-Modified Platinum Films with Preferential (100) Orientation as Electrocatalysts for Nitrate Reduction and Dimethyl Ether Oxidation

2017· article· en· W2657417662 on OpenAlexafffund
Matteo Duca, Jonathan Kightley, Sébastien Garbarino, Daniel Guay

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2017
Typearticle
Languageen
FieldChemical Engineering
TopicAmmonia Synthesis and Nitrogen Reduction
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsRhodiumPlatinumBimetallic stripElectrochemistryAdsorptionChemistryInorganic chemistryCatalysisDimethyl etherNitrateDesorptionElectrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Nanostructured platinum films with a preferential (100) orientation were decorated with a rhodium adlayer through potentiodynamic electrodeposition. The Rh surface coverage was controlled by varying the number of electrodeposition cycles, and the growth of the Rh layer was followed by means of the distinct hydrogen adsorption/desorption peaks pertaining to Rh. The bimetallic electrodes were tested for their catalytic activity toward a set of electrochemical reactions of the carbon and nitrogen cycles (nitrate reduction, CO oxidation, and DME oxidation) in H 2 SO 4 . At the same time, these reactions provided further insight into the surface structure of the Rh deposits: thus, it was found that Rh deposition occurs mostly at (100) sites, creating ordered Rh islands. It was shown that DME oxidation at Pt(100) can be further promoted by minimum Rh coverages, at which the highly active (100) terraces remain mostly free. On the other hand, the activity toward nitrate reduction can be enhanced by increasing amounts of Rh. Finally, we succeeded in directing Rh deposition through the partial stripping of adsorbed CO, using this molecule as a site-blocking adlayer protecting wide (100) terraces, thus achieving the maximum enhancement for DME oxidation.

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)0.000
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 score0.005
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

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 science0.0000.000
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 head0.013
GPT teacher head0.265
Teacher spread0.252 · 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

Citations11
Published2017
Admission routes2
Has abstractyes

Explore more

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