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Record W2327251449 · doi:10.1021/jp1040713

Influence of CdSe/ZnS Quantum Dots in the Polymerization Process and in the Grating Recording in Acrylate Materials

2010· article· en· W2327251449 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2010
Typearticle
Languageen
FieldChemistry
TopicPhotopolymerization techniques and applications
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhotopolymerPolymerizationQuantum dotMaterials scienceAcrylatePhotoluminescenceSpectroscopyMonomerPhotochemistryGratingOptoelectronicsChemical engineeringPolymerChemistryComposite material

Abstract

fetched live from OpenAlex

The initiation step of the polymerization of acrylate materials is first studied in detail by UV-visible spectroscopy, showing the involvement of each species of the three-component photosensitizer. Then, the implementation of a combined holographic and physicochemical investigation approach is used to determine the influence of photoluminescent CdSe/ZnS quantum dots (QDs) in the photopolymerization and grating recording process in composites containing those QD nanoparticles. The fluorescence microscopy evidences the dynamic distribution profile of QDs due to their diffusion from the irradiated zones to the interface between the bright and the dark zones and, finally, their accumulation in nonirradiated zones. At the same time, the infrared spectroscopy shows that the presence of QDs provides a noticeable decrease of the polymerization rate, which favors the diffusion of the monomer and QDs. These two phenomena contribute to the enhancement of the refractive index modulation depth.

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.

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 score0.003
Threshold uncertainty score0.206

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 head0.006
GPT teacher head0.272
Teacher spread0.266 · 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