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Record W2038839867 · doi:10.1149/2.102202jes

Room Temperature Ionic Liquid Electrolytes Based on Azepanium Imide Salts for Lithium Batteries

2011· article· en· W2038839867 on OpenAlexaff
Nuha Salem, Lucas Nicodemou, Yaser Abu‐Lebdeh, Isobel Davidson

Bibliographic record

VenueJournal of The Electrochemical Society · 2011
Typearticle
Languageen
FieldChemical Engineering
TopicIonic liquids properties and applications
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsIonic liquidElectrolyteElectrochemical windowLithium (medication)ElectrochemistryImideChemistryInorganic chemistryIonic conductivityEthylene carbonateAlkylOrganic chemistryPhysical chemistryElectrodeCatalysis

Abstract

fetched live from OpenAlex

Ionic liquids based on the imide salts of the dialkyl azepanium cation, AZ (R 1 , R 2 ) were synthesized, characterized, and evaluated as electrolytes in lithium batteries.Nine salts were synthesized with variation in the length of the two alkyl groups [R 1 , R 2 = methyl (1), ethyl (2), propyl (3) and butyl (4)].It was found that the asymmetric ones with R 2 -R 1 ≥ 2 are liquids at ambient temperature.The three room-temperature ionic liquids (AZ13-TFSI, AZ14-TFSI, AZ24-TFSI) showed, in the neat form, ionic conductivities in the range of 0.1-0.6 mS/cm, viscosities of 260-350 cP and an electrochemical window of 5.5-6 V.It was found that mixing the ionic liquids with ethylene carbonate gave electrolytes with lower viscosities, increased conductivities and improved electrochemical cathodic stability.Electrolytes based on the ILs were evaluated in lithium half cells with different chemistries; Li/LiFePO 4 , Li/Li 4 Ti 5 O 12 , Li/LiCoO 2 ; and in the case of AZ14-TFSI a Li/LiFePO 4 cell, gave discharge capacities reaching 125 mAh.g -1 over 100 cycles with 98% coulombic efficiencies.

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 score0.001
Threshold uncertainty score0.005

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.212
Teacher spread0.202 · 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

Citations16
Published2011
Admission routes1
Has abstractyes

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Same venueJournal of The Electrochemical SocietySame topicIonic liquids properties and applicationsFrench-language works237,207