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Record W2280066745 · doi:10.1149/2.0171604jes

Cost-Effective Electrophoretic Deposition of Cu<sub>2</sub>ZnSnS<sub>4</sub>Nanocrystals for Photovoltaic Films

2015· article· en· W2280066745 on OpenAlexaff
Lorenzo Perini, Daniel Vaccarello, Kyle S.B. Jeffs, Zhifeng Ding

Bibliographic record

VenueJournal of The Electrochemical Society · 2015
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsWestern University
Fundersnot available
KeywordsKesteriteCZTSElectrophoretic depositionPhotocurrentMaterials scienceSolar cellRaman spectroscopyBand gapChemical engineeringNanocrystalOptoelectronicsAnalytical Chemistry (journal)NanotechnologyChemistryOpticsCoatingOrganic chemistry

Abstract

fetched live from OpenAlex

For the first time, kesterite Cu2ZnSnS4 (CZTS) thin films were efficiently obtained by electrophoretic deposition (EPD) of CZTS nanocrystal (NC) dispersion in an environmentally-friendly solvent, isopropanol. By regulating the applied potential, deposition time, and NC suspension concentration, the EPD process was successfully optimized. Photoelectrochemical measurements (PECMs) were carried out to test the EPD film performance, where the photocurrent density generated from the reduction of methyl viologen (MV2+) was evaluated. EPD films showed a photocurrent three times higher than those obtained by dropcasting at the same concentration. X-ray diffraction and Raman spectroscopy confirmed the formation of a single phase Cu2ZnSnS4 kesterite structure, without impurities. Intensity modulated photocurrent spectroscopy was used to determine the hole-electron recombination and product separation kinetics in the photoprocesses. Lastly, UV-visible spectroscopy determined the bandgap as 1.45 eV, which is an ideal value for single junction solar cell devices. The EPD approach can be combined with our optimized one-pot synthesis of CZTS NCs, which avoids annealing steps after the deposition. Based on these findings, EPD is anticipated to become one of the most promising routes toward fabrication of solar cell devices.

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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.231
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

Citations5
Published2015
Admission routes1
Has abstractyes

Explore more

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