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Record W2472374621 · doi:10.1149/1.3210614

RRDE Measurements of ORR Activity of Pt<sub>1-x</sub>Ir<sub>x</sub> (0 &lt; x &lt; 0.3) on High Surface Area NSTF-coated GC Disks

2009· article· en· W2472374621 on OpenAlexaff
Gary C. Liu, R. J. Sanderson, George Verndstorm, David A. Stevens, Radoslav Atanasoski, Mark K. Debe, J. R. Dahn

Bibliographic record

VenueECS Transactions · 2009
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsDalhousie University
FundersU.S. Department of Energy
KeywordsTafel equationCatalysisThin filmCurrent densityAnalytical Chemistry (journal)DiffusionChemistryElectrodeMaterials scienceElectrochemistryNanotechnologyPhysical chemistry

Abstract

fetched live from OpenAlex

Layered Pt1-xIrx (0 &lt; x &lt; 0.3) and Pt films were sputtered onto mirror-polished and nano-structured thin film (NSTF)-coated GC disks. Rotating ring disk electrode studies of oxygen reduction reaction activity (ORR) were completed for all disks prepared. The NSTF-supported catalysts had much higher active surface area and reached the diffusion-limited current at a higher potential than the mirror-polished supported catalysts. The surface enhancement factor (SEF) of Pt on NSTF-coated disks was approximately 14. The SEF increased, (reaching a maximum of 22 at x = 0.2 in Pt1-xIrx) as the Ir content increased. The kinetic ORR current density also increased with increasing Ir content. A similar trend was not observed for catalyst coated, mirror-polished disks. All of the catalyst/support combinations had identical Tafel slopes and area specific current densities suggesting that the Pt is the active catalytic ingredient.

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 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 score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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.

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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

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