MétaCan
Menu
Back to cohort
Record W3100798632 · doi:10.18280/acsm.440507

Extended Wide Band Gap Amorphous ZnO Thin Films Deposited by Spray Pyrolysis

2020· article· en· W3100798632 on OpenAlexvenueno aff
Noubeil Guermat, Warda Daranfed, Kamel Mirouh

Bibliographic record

VenueAnnales de Chimie Science des Matériaux · 2020
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsnot available
Fundersnot available
KeywordsSpray pyrolysisMaterials scienceAmorphous solidThin filmBand gapPyrolysisChemical engineeringOptoelectronicsNanotechnologyChemistryCrystallography

Abstract

fetched live from OpenAlex

In this work, the ZnO thin films were deposited on substrates heated in a temperature varied between 250 to 400 with a step of 50. The solution used for this deposition is composed of methanol and Zinc acetate. The XRD analysis confirmed that the deposited ZnO thin layers have a hexagonal wurtzite high quality with a preferential orientation (100) a-axis perpendicular to the substrate. The crystallite size is calculated using the Debye-Scherrer formula, the latter varies between 32-61 nm. Analysis by UV-Visible spectrophotometer is an important characteristic to assess the quality of the deposited layers. The prepared samples showed a high transmission which is higher than 82% in the UV-Vis region and also observed the presence of two phases leading to two different optical band gaps for substrate temperature at 250 and 300. The direct optical band gap energy calculated from the transmittance spectra was decreased with augmentation of substrate temperature. The minimum value of Urbach energy of ZnO thin film was achieved with 400. The measured contact angles are less than 90 for all the prepared samples confirming the hydrophilic character of all the films. The conductivity was ranged from 0.025 to 1.033 (cm) -1 with increasing Ts.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.045
GPT teacher head0.258
Teacher spread0.213 · 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

Citations16
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAnnales de Chimie Science des MatériauxSame topicZnO doping and propertiesFrench-language works237,207