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Record W3136308343 · doi:10.21203/rs.3.rs-294208/v1

Synthesis of Cu2ZnSnS4 (CZTS) Ink by an Easy Hydrothermal Method

2021· preprint· en· W3136308343 on OpenAlexaff
Mahnaz Karbassi, Saeid Baghshahi, Nastaran Riahi‐Noori, Roozbeh Siavash Moakhar

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsMcGill University
Fundersnot available
KeywordsCZTSKesteriteMaterials scienceBand gapNanoparticleChemical engineeringSolar cellThioureaZeta potentialAnalytical Chemistry (journal)NanotechnologyOptoelectronicsChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The quadrilateral p-type semiconductor Cu 2 ZnSnS 4 (CZTS) with a direct bandgap of 1.4 to 1.5 eV and a high absorption coefficient in the visible light range, is considered an excellent absorbent layer in the production of solar cells. The application of Cu 2 ZnSnS 4 film absorbent materials is promising in the field of low-cost solar cell production. In this paper, a simple, efficient, controllable, and inexpensive solvothermal method is used to make the CZTS nanoparticles from zinc acetate, copper acetate, tin chloride, thiourea, and hexadecyl amine solvent. The ink was prepared from the CZTS powder and applied by the doctor Blade technique on soda-lime glass. The X-ray diffraction (XRD) and Raman spectroscopy analysis showed that the CZTS synthesis nanoparticles had a pure Kesterite structure. The thermo-gravimetric analysis showed about 12% of the loss weight of CZTS nanoparticles using field emission scanning electron microscopy, energy dispersive spectroscopy, dynamic light scattering, and zeta potential indicated that the synthesized nanoparticles had a strong absorption in the range of 125–477 nm with an average particle size of 300 nm and plate shape. The energy bandgap of CZTS nanoparticles was measured to be 1.49 eV using UV-Vis spectroscopy.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, 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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.373
Teacher spread0.311 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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