MétaCan
Menu
Back to cohort
Record W2619000674 · doi:10.14447/jnmes.v18i3.359

Investigations on Lithium Carbonate-alumina Composite Solid Electrolyte: Morphology and Related Conductivity

2015· article· en· W2619000674 on OpenAlexvenueno aff
Mazdida Sulaiman, A.A. Rahman, N.S. Mohamed

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsScanning electron microscopeDifferential scanning calorimetryConductivityIonic conductivityAnalytical Chemistry (journal)Fourier transform infrared spectroscopyElectrolyteMaterials scienceDielectric spectroscopyLithium (medication)Composite numberAmorphous solidMorphology (biology)MineralogyChemical engineeringChemistryCrystallographyComposite materialChromatographyPhysical chemistryElectrochemistry

Abstract

fetched live from OpenAlex

Composite solid electrolytes in the system (1-x)Li2CO3-xAl2O3 with x = 0.1 – 0.6 mole were prepared via sol-gel technique. The morphology and conductivity of the composite were investigated. Obtained materials were analysed by X-ray diffraction, differential scanning calorimetry, scanning electron microscopy, Fourier transform infrared spectroscopy and chemical constituents were confirmed by energy dispersive X-ray. The ionic conductivity was measured using AC impedance spectroscopy. SEM studies of cross-section morphology clearly showed lithium carbonate crystals became radial – fluffy shaped particularly at x = 0.1 and 0.6. Morphological analysis showed homogeneous distribution between Li2CO3 and Al2O3 particles resulted in formation of amorphous phase of Li2CO3 at Li2CO3 - Al2O3 interface. Traces of α-LiAlO2, γ-LiAlO2 and LiAl5O8 were observed at x = 0.1, 0.2 and x = 0.4. Impedance spectroscopy studies showed that the conductivity is maximal at x = 0.2 and 0.4 - 0.5 with a value equal to ~10-3 Scm-1 with temperatures ranging from 130 - 180 oC.

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 score0.009
Threshold uncertainty score0.716

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 head0.021
GPT teacher head0.249
Teacher spread0.228 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of New Materials for Electrochemical SystemsSame topicAdvanced Battery Materials and TechnologiesFrench-language works237,207