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Record W2046993153 · doi:10.1149/1.2795109

HQ Asymmetric Super Capacitor: Graphite-Li4Ti5O12/Ionic Liquid/Carbon

2007· article· en· W2046993153 on OpenAlexaffabout
Karim Zaghib, Patrick Charest, Abdelbast Guerfi, Martin Dontigny, Kim Kinoshita

Bibliographic record

VenueECS Transactions · 2007
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsIonic liquidGraphiteCarbon fibersMaterials scienceSupercapacitorCapacitorChemical engineeringChemistryCapacitanceComposite materialElectrical engineeringOrganic chemistryComposite numberElectrodeEngineeringVoltagePhysical chemistry

Abstract

fetched live from OpenAlex

Hybrid supercapacitor that contain high-surface-area carbon and metal oxide electrodes are attracting interest for use in electrochemical devices. Metal oxide electrodes containing Li4Ti5O12 in liquid electrolytes (ionic liquid or nonaqueous liquid) were investigated. A new procedure developed at Hydro Quebec produced Li4Ti5O12 powders with diameters in the range of 100 nm. At high-rate (1 minute) charge-discharge, the hybrid supercapacitor had an average voltage of about 2.21 V, with 85% nominal capacity. These hybrid supercapacitors also exhibited a very long cycle life of >20,000 cycles at high- rate charge-discharge. The results of this study demonstrate that the Li4Ti5O12-based electrochemical system has attractive characteristics for high-power application such as in portable devices and HEVs

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.235
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2007
Admission routes2
Has abstractyes

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