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Record W2643860675 · doi:10.1002/cplu.201700245

Facile Synthesis of a Porous Pd/Cu Alloy and its Enhanced Performance toward Methanol and Formic Acid Electrooxidation

2017· article· en· W2643860675 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.

Bibliographic record

VenueChemPlusChem · 2017
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFormic acidCatalysisAlloyMethanolPalladiumAscorbic acidCopperElectrochemistryMaterials scienceElectrocatalystInorganic chemistryPorosityChemical engineeringChemistryMetallurgyOrganic chemistryElectrodeComposite material

Abstract

fetched live from OpenAlex

Abstract Reported is a porous Pd/Cu alloy catalyst synthesized by a one‐pot method, in which the Pd/Cu alloy is formed by using l ‐ascorbic acid as reducing agent to simultaneously reduce the copper precursor and the palladium precursor. The copper incorporated with Pd can reduce the cost of the catalyst and enhance the catalytic performance. The morphology of the Pd/Cu alloy catalyst can be controlled by altering the ratios of Pd to Cu. Electrochemical characterizations indicate that Pd/Cu alloy catalysts possess good activity and long‐term stability for the electrooxidation of methanol and formic acid. Compared with commercial Pd/C, the as‐prepared Pd 65 Cu 35 shows enhanced activities of electrooxidation of methanol and formic acid. This study highlights an easy strategy to obtain the shape‐controlled Pd/Cu alloyed catalysts and their potential application as electrocatalysts in fuel cells or other fields.

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 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 score0.035
Threshold uncertainty score0.932

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 communication0.0000.001
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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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