MétaCan
Menu
Back to cohort
Record W2888834589 · doi:10.14447/jnmes.v17i3.405

Investigations on the Effect of Chitin Nanofiber in PMMA Based Solid Polymer Electrolyte Systems

2014· article· en· W2888834589 on OpenAlexvenueno aff
P. M. Shyly, S.D.D. Roy, Paitip Thiravetyan, S. Thanikaikarasan, P.J. Sebastián, D. Eapen, X. Sahaya Shajan

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsElectrolyteMaterials scienceIonic conductivityChemical engineeringNanofiberPolymerDifferential scanning calorimetryMembraneLithium (medication)ChitinLithium batteryPolymer chemistryIonic bondingNanotechnologyChemistryElectrodeComposite materialChitosanOrganic chemistryIon

Abstract

fetched live from OpenAlex

Polymer electrolyte membranes find application in a variety of fields such as battery systems, fuel cells, sensors and other electrochemical devices. In this paper we have done some investigations on the effect of chitin nanofiber (CNF) in PMMA based solid polymer electrolyte systems. CNF was synthesized from shrimp cell chitin by stepwise purification and acid hydrolysis method. PMMA basedelectrolyte films containing different concentrations of lithium salt and CNFs as filler were prepared by hot-press membrane technique. Crystalline nature and phase changes in polymer electrolytes were confirmed by X-ray diffraction analysis. Thermal behavior of the polymer electrolyte systems was studied by differential scanning calorimetry. Ionic conductivities of the electrolytes have been determined using a.c. impedance analysis in the temperature range between 303 and 393K. The temperature–dependent ionic conductivity

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 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 score0.007
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.007
GPT teacher head0.217
Teacher spread0.210 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

Explore more

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