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Record W2079684987 · doi:10.1149/1.3210672

Activity of Pt-Sn Catalyst Prepared by Reactive Spray Deposition Technology for Ethanol Electro-oxidation

2009· article· en· W2079684987 on OpenAlex
Khalid Fatih, Roberto Neagu, Vanesa Alazate, Vladimir Neburchilov, Radenka Marić, Wang Hai-jiang

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

VenueECS Transactions · 2009
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsNational Research Council Canada
FundersNational Research Council CanadaAgriculture and Agri-Food Canada
KeywordsCatalysisDeposition (geology)Materials scienceAmorphous solidChemical engineeringParticle sizeEthanolParticle (ecology)ChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Direct liquid fuel cells (DLFCs) are promising power sources for small devices operating under ambient conditions, such as electronic portable devices. A one-step, open atmosphere reactive spray deposition technique (RSDT) was used for the first time as a flame-based technique to produce Pt-Sn catalyst for ethanol oxidation reaction. TEM images show catalyst particle size in the range of 2 to 6 nm. XRD patterns confirm crystalline Pt and a possible amorphous to weakly crystallized SnO2 phase. Pt-Sn / 90-10 % showed a superior catalytic performance compared to Pt or Pt-Sn mixtures with higher Sn content.

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 score0.393
Threshold uncertainty score0.695

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 communication0.0000.001
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 head0.007
GPT teacher head0.260
Teacher spread0.253 · 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