MétaCan
Menu
Back to cohort
Record W2315623334 · doi:10.1149/1.3112726

Intrinsic Properties of 40 nm-sized LiFePO4 Particles

2009· article· en· W2315623334 on OpenAlexaff
Karim Zaghib, A. Mauger, Monika Kopeć, François Gendron, C. Julien

Bibliographic record

VenueECS Transactions · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsMaterials sciencePassivationCoatingCrystalliteLayer (electronics)Context (archaeology)Chemical engineeringSurface layerCarbon fibersCathodeElectrochemistryParticle (ecology)IonAnalytical Chemistry (journal)NanotechnologyComposite materialElectrodeMetallurgyComposite numberPhysical chemistryChemistry

Abstract

fetched live from OpenAlex

LiFePO4 particles of sizes in the range 35-45 nm have been prepared by jet-milling route. The bulk and surface properties have been investigated by a combination of XRD, TEM, FTIR, and magnetic measurements before and after the carbon coating of the particles intended to optimize the electrochemical performance of the powder used as a cathode element. The particles are crystallites free from impurity and defect, surrounded by a surface layer. Before carbon coating, the surface layer is highly disordered, inside which the iron ions are in the Fe3+ low spin (S=1/2) configuration. The disorder is found to have dramatic effects on the electrochemical properties as it stabilizes the solid solution inside the passivation layer. This disorder is strongly reduced by the carbon coating at 750 {degree sign}C, which switches the Fe3+ ions in the surface layer to the high spin (S=5/2) configuration, and restores the plateau of the voltage versus capacity. The results are discussed in the context of the controversy on the shrinking of the miscibility gap upon decreasing the size of the particles to the nanoscale.

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 score0.055
Threshold uncertainty score0.358

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 communication0.0000.000
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 head0.019
GPT teacher head0.224
Teacher spread0.204 · 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

Citations7
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueECS TransactionsSame topicAdvancements in Battery MaterialsFrench-language works237,207