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Record W2044166741 · doi:10.1021/jp068274h

Non-Noble Electrocatalysts for O<sub>2</sub> Reduction:  How Does Heat Treatment Affect Their Activity and Structure? Part II. Structural Changes Observed by Electron Microscopy, Raman, and Mass Spectroscopy

2007· article· en· W2044166741 on OpenAlexaff
Frédéric Jaouen, Alessandra Maria Serventi, Michel Lefèvre, Jean‐Pol Dodelet, Patrick Bertrand

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2007
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsRaman spectroscopyAnalytical Chemistry (journal)Scanning electron microscopeCarbon blackCarbon fibersSecondary ion mass spectrometryParticle (ecology)SpectroscopyChemistryMass spectrometryParticle sizeMaterials sciencePhysical chemistryComposite numberChromatographyOptics

Abstract

fetched live from OpenAlex

In part I of this paper, a model was proposed to (i) describe the gasification of a spherical carbon black particle by ammonia at high temperature and (ii) explain the activity for the O 2 electroreduction of catalysts based on Fe and carbon heat-treated in NH 3 . In this second part, such catalysts, heat-treated for various times in ammonia, are characterized by electron microscopy, Raman spectroscopy, and time-of-flight secondary ion mass spectrometry (ToF-SIMS). Electron microscopy shows an average particle diameter of 38 nm for the pristine furnace black, decreasing to 28 nm after the carbon powder loses 90% of its mass. This agrees with model prediction. Raman spectroscopy shows that the experimental width at half-maximum of both the graphitic peak (∼1595−1600 cm -1 ) and the disorder and graphitic-edge peak (∼1345−1355 cm -1 ) constantly decreases with increasing weight loss. It is found that the width at half-maximum of these peaks correlates with the fraction of disordered carbon phase calculated by the model. Last, changes of the ToF-SIMS total and Fe + signals upon gasification of the carbon black also support the model.

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 score0.002
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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

Citations82
Published2007
Admission routes1
Has abstractyes

Explore more

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