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Record W2754923050 · doi:10.14447/jnmes.v15i2.78

Characterizations of ZnS/CuInS<sub>2</sub> Film Fabricated by Electrochemical Deposition Process for Solar Cell Devices

2012· article· en· W2754923050 on OpenAlexvenueno aff
Yih-Min Yeh, Hsiang Chen, Chuan Liao, Ching Bang Chen, Bin Yi Chen

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2012
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsnot available
Fundersnot available
KeywordsScanning electron microscopeSubstrate (aquarium)Deposition (geology)Materials scienceThin filmElectrochemistrySolar cellEnergy-dispersive X-ray spectroscopyTransmittanceVacuum depositionChemical bath depositionSulfurChemical engineeringAnalytical Chemistry (journal)NanotechnologyChemistryMetallurgyOptoelectronicsElectrodeComposite material

Abstract

fetched live from OpenAlex

In this study, CuInS2 (CIS) films were fabricated by a two-step, non-vacuum process. Electrochemical deposition (ECD) was first used to prepare Cu-In precursors on Mo substrate under constant current. Then, CuInS2 films were prepared by sulfurization of the Cu-In precursors in sulfur atmosphere. The surface morphologies, compositions, and transmittance of the CuInS2 and ZnS films were characterized by X-ray diffraction (XRD), scanning electron microscope (SEM), energy dispersive spectroscopy (EDS), and UV-VIS, respectively. The results show that a high-quality CIS thin film solar cells by low-cost, non-vacuum process could be obtained.

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 categoriesMeta-epidemiology (narrow)
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 score0.027
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0010.000
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 head0.012
GPT teacher head0.229
Teacher spread0.217 · 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.

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

Citations1
Published2012
Admission routes1
Has abstractyes

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