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Record W3041917845 · doi:10.1149/09707.0659ecst

Conductive Metal Oxide-Based Fuel Cell Catalyst Supports Prepared by Doping TiO<sub>2</sub> with Si: Understanding the Role of Si Content

2020· article· en· W3041917845 on OpenAlexaff
Mason Sullivan, Reza Alipour Moghadam Esfahani, E. Bradley Easton

Bibliographic record

VenueECS Transactions · 2020
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsDurabilityDopantMaterials scienceCatalysisOxideDopingElectrochemistryMetalElectrical conductorChemical engineeringFuel cellsConductivityInorganic chemistryMetallurgyComposite materialElectrodeChemistryPhysical chemistryOptoelectronicsOrganic chemistry

Abstract

fetched live from OpenAlex

We report the synthesis of a Ti 3 O 5 -Si (TOS) conductive metal oxide fuel cell catalyst support. TOS is prepared by doping TiO 2 with Si, endowing the resultant material with enhanced electronic conductivity and durability. Support with various amounts of dopant were prepared and a 15-20 wt% Si was determined to be optimal. Intensive electrochemical durability testing shows that the TOS supports are highly stable making them highly suitable for use as a fuel cell catalyst support.

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 score0.112
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.194
Teacher spread0.175 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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