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Record W2321133510 · doi:10.1149/1.3641463

Preparation of DSSC Nanotitania Thin Film Photoanodes by Electrophoretic Deposition in an Aqueous Suspension

2011· article· en· W2321133510 on OpenAlexaff
Nima Parsi Benehkohal, George P. Demopoulos

Bibliographic record

VenueECS Transactions · 2011
Typearticle
Languageen
FieldEngineering
TopicElectrophoretic Deposition in Materials Science
Canadian institutionsMcGill University
Fundersnot available
KeywordsElectrophoretic depositionMaterials scienceDye-sensitized solar cellChemical engineeringElectrolysisFabricationElectrolyteElectrodeMesoporous materialLayer (electronics)Aqueous solutionThin filmNanotechnologyCoatingChemistryCatalysis

Abstract

fetched live from OpenAlex

Aqueous-based electrophoretic deposition (EPD) of titania nanoparticles (Evonic's P25) for the fabrication of mesoporous electrodes for dye-sensitized solar cells is investigated. Poor film adhesion and cracking arising from the electrolysis of water and interstitial water evaporation during drying were largely overcome via the judicious selection of EPD operating current but more importantly the addition of zinc nitrate in a 5 vol.% isopropanol-water suspension. As a result, a composite nanostructured TiO2-ZnO film was fabricated. Photoelectrochemical characterization indicates that formation of ZnO causes suppression of electron leakage from substrate to electrolyte and additionally prolongs photoelectron lifetime. A 5.01% conversion efficiency was obtained under 1 sun illumination (100 mW•cm−2) of a 13 µm thick single transparent layer. Fabrication of multilayer film by repeated cycles of EPD found to increase the conversion efficiency to 5.52% for the same total film thickness due to better overall film construction.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.084
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.008
GPT teacher head0.220
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.

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
Published2011
Admission routes1
Has abstractyes

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