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Record W2061776510 · doi:10.1088/2043-6254/1/1/015013

Transformation of the structural surface morphology and electronic structure of CdS nanostructured films prepared in glycerol-containing solution, under ultrasonic irradiation

2010· article· en· W2061776510 on OpenAlexfundno aff
Trung Tran, Duc Tung Ngo, Thi Huong Vu, Thi Dong Nguyen, Chang‐Sik Ha

Bibliographic record

VenueAdvances in Natural Sciences Nanoscience and Nanotechnology · 2010
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsnot available
FundersInstitute of Circulatory and Respiratory HealthEUROfusion
KeywordsCadmium sulfideMaterials scienceChemical bath depositionIrradiationDiffractionChemical engineeringPhase (matter)Hexagonal phaseMorphology (biology)Deposition (geology)CrystallographyThin filmNanotechnologyHexagonal crystal systemOpticsChemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Chemical bath deposition was improved by using glycerol, a very conventional surfactant, to control cadmium sulfide CdS in various sizes and structures, under ultrasonic irradiation conditions. Consequently, an effective route to prepare CdS thin film that consists of either CdS fibrils with an average diameter of 52 nm or monodispersed CdS grains 35 to 80 nm in size is proposed. X-ray diffraction (XRD) studies revealed that, in the crystallographic properties of the obtained CdS films, CdS may exist in two crystalline modifications—a hexagonal and a cubic phase—that are characterized by several diffraction peaks positioned at 2θ≈23.4°, 27.1° and 47.8°. Beside this, UV-Vis studies also revealed the positive effect of glycerol at grain boundaries, leading to detrimental reduction of the band bending towards the absorber surface and increasing the population of optical absorptions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.005
GPT teacher head0.238
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2010
Admission routes1
Has abstractyes

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Same venueAdvances in Natural Sciences Nanoscience and NanotechnologySame topicQuantum Dots Synthesis And PropertiesFrench-language works237,207