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Record W3036392440 · doi:10.1039/d0ma00227e

A low-cost and Li-rich organic coating on a Li<sub>4</sub>Ti<sub>5</sub>O<sub>12</sub>anode material enabling Li-ion battery cycling at subzero temperatures

2020· article· en· W3036392440 on OpenAlexafffund
Nicolas Delaporte, Pascale Chevallier, Sylviane Rochon, Gilles Lajoie, Jean‐Christophe Daigle, Vincent Gariépy, Daniel Clément, R. Veillette, Marie-Claude Mathieu, Manon Provencher, Michel L. Trudeau, Karim Zaghib

Bibliographic record

VenueMaterials Advances · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversité LavalHôpital Saint-François d'Assise
FundersHydro-Québec
KeywordsAnodeElectrolyteMaterials scienceBattery (electricity)CyclingElectrodeIonCoatingAnalytical Chemistry (journal)Inorganic chemistryChemical engineeringComposite materialChemistryPhysical chemistryEnvironmental chemistryThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

A Li <sub>4</sub> Ti <sub>5</sub> O <sub>12</sub> (LTO) anode material was coated with a Li-rich PTCLi <sub>4</sub> organic molecule using a spray-dryer technique to increase the Li-ion transfer at the electrode–electrolyte interface enabling battery cycling at sub-zero temperatures.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2020
Admission routes2
Has abstractyes

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