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Record W2889635103 · doi:10.14447/jnmes.v19i3.329

Characterization of CuInS2 Thin Films Grown by Transducer-based Ultrasonic Spray Pyrolysis for PV Solar Cells Applications

2016· article· en· W2889635103 on OpenAlexaffvenue
Eric Nguwuo Petuenju, O. Savadogo

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2016
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsUniversité de MontréalPolytechnique Montréal
Fundersnot available
KeywordsThioureaIndiumThin filmMethanolTetrahydrateMaterials scienceAqueous solutionBand gapCopper chlorideUltrasonic sensorCopperScanning electron microscopeAnalytical Chemistry (journal)PyrolysisMorphology (biology)Chemical engineeringNuclear chemistryInorganic chemistryChemistryCrystal structureNanotechnologyCrystallographyOrganic chemistryMetallurgyComposite material

Abstract

fetched live from OpenAlex

For the first time, the elaboration of CuInS2 thin films was achieved using the transducer-based ultrasonic spray pyrolysis method with methanol as solvent. Precursor solutions were prepared with copper dichloride dihydrate [CuCl2.2H2O], indium (III) chloride tetrahydrate [InCl3.4H2O] and thiourea [SC(NH2)2] at different ratios. In2S3 clusters (μdots) were obtained from an aqueous solution with precursors ratio Cu:In:S = 1.3:1:3.9, 1.4:1:3.9, 1.5:1:3.9. CuInS2 thin films were obtained from a solution of methanol with precursors ratio Cu:In:S = 1:1:4. The In concentration was 3 x 10-3 mol/l. The crystalline structure and their morphology ware characterised by SEM and their chemical composition by EDAX, The bandgap of CuInS2, equals to 1.40 eV, was determined by spectrophotometry.

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 score0.216
Threshold uncertainty score0.836

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 head0.010
GPT teacher head0.211
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 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

Citations2
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueJournal of New Materials for Electrochemical SystemsSame topicChalcogenide Semiconductor Thin FilmsFrench-language works237,207