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Record W2473589204 · doi:10.1139/cjc-2016-0156

Theoretical study on the structure–property relationship of D–A–π–A-type dye-sensitized solar cells: π-bridge and the side alkyl chain

2016· article· en· W2473589204 on OpenAlexvenueno aff
Kaili Zhu, Liu Le-yan, Zhi‐Yuan Geng

Bibliographic record

VenueCanadian Journal of Chemistry · 2016
Typearticle
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryAlkylSide chainDensity functional theoryDye-sensitized solar cellAbsorption (acoustics)Bridge (graph theory)PhotochemistryAbsorption spectroscopyTime-dependent density functional theorySolar cellOptoelectronicsComputational chemistryOrganic chemistryOpticsPhysical chemistryPolymerMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Two series of dyes have been designed and theoretically characterized through density functional theory and time-dependent density functional theory to systematically explore the structure–property relationship of dyes with D–A–π–A architecture and the performance of dye-sensitized solar cells, particularly the influence of the π-bridge, including its alkyl side chain, adding additional conjugate spacer, displacement, and separation of π-bridge. Key parameters associated with the short-circuit current density J sc and open-circuit photovoltage V oc were characterized and analyzed in detail. All of the analysis results manifest that dye H1 should be the best candidate to fabricate dye-sensitized solar cells owing to the best optical absorption property (a broad absorption band from 300 to 900 nm for adsorbed dye) and other outstanding parameters.

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 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 score0.018
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.205
Teacher spread0.191 · 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
Published2016
Admission routes1
Has abstractyes

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