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Record W2394940345 · doi:10.1002/macp.201500440

Aqueous Photoelectrochemical Reduction of Anthraquinone Disulfonate at Organic Polymer Films

2016· article· en· W2394940345 on OpenAlexafffund
Pankaj Chowdhury, Patrick Fortin, Graeme M. Suppes, Steven Holdcroft

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2016
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhotocurrentPhotoelectrochemistryAqueous solutionChemistryAnthraquinoneSemiconductorPhotoelectrochemical cellPhotochemistryRedoxElectrolyteProtonOrganic semiconductorElectrochemistryElectrodeMaterials scienceOptoelectronicsInorganic chemistryPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The photoelectrochemistry (PEC) of poly(3‐hexylthiophene) (P3HT) is investigated by studying the photocathodic reduction of anthraquinone‐2,7‐disulfonate (AQ27DS). A photocurrent of ≈ 100 μA cm−2 is obtained using ≈ 5 × 10−3 m AQ27DS and 100 mW cm−2 visible light. The photon‐to current‐efficiency approaches ≈ 1% when irradiated with low intensity monochromatic light. The photoreduction proceeds by either a 2‐electron, 2‐proton, or 2‐electron, 1‐proton process depending on the solution pH. The band energy levels of P3HT shift by ≈ 150 mV in contact with aqueous solutions over a 1–12 pH range, and considerable more in the presence of AQ27DS during PEC, to the extent that Fermi level pinning occurs. This work reveals that the efficiency of electron–hole separation is required to improve photoefficiency and the interaction of redox couples with the P3HT semiconductor interface is warranted in order to understand the photovoltages developed across the semiconductor/electrolyte interfaces. image

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 score0.005

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)0.0020.000

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 head0.006
GPT teacher head0.214
Teacher spread0.208 · 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

Citations17
Published2016
Admission routes2
Has abstractyes

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