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Record W6959649347 · doi:10.1021/ja801931m.s001

Nanoscale Co-organization of Quantum Dots and Conjugated Polymers Using Polymeric Micelles As Templates

2016· article· en· W6959649347 on OpenAlexaff

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNanoscopic scaleQuantum dotHeterojunctionNanocrystalConjugated systemPolymerTemplateMicelleSupramolecular chemistry

Abstract

fetched live from OpenAlex

Hierarchical organization of light-absorbing molecules is integral to natural light harvesting complexes and has been mimicked by elegant chemical systems. A challenge is to attain such spatial organization among nanoscale systems. Interactions between nanoscale systems, e.g., conjugated polymers, carbon nanotubes, quantum dots, and so on, are of interest for basic and applied reasons. However, typically the excited-state interactions and dynamics are examined in rather complex blends, such as cast films. A model system with complexity intermediate between a film and a supramolecular system would yield helpful insights into electronic energy and charge transfer. Here, we report a simple and versatile approach to achieving spatially defined organization of colloidal CdSe, CdSe/ZnS core/shell, or PbS nanocrystals (quantum dots) with poly(3-hexylthiophenes) (P3HTs) using micelles of poly(styrene-<i>b</i>-4-vinylpyridine) (PS-<i>b</i>-P4VP) as the main structural motif. We compare the characteristics of this system to those of natural light-harvesting complexes. Bulk heterojunction films (and related systems) are characterized by electronic interactions, and therefore dynamics of charge and energy transfer, at interfaces rather than between specific donor−acceptor molecules. Owing to structural disorder, such systems are inherently complex. Therefore, we expect that the spatially defined organization of the active components in the present system provides new opportunities for studying the complicated photophysics intrinsic to blends of nanoscale systems, such as bulk heterojunctions by establishing simplified and better controlled interfaces.

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 categoriesInsufficient payload (model declined to judge)
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 score0.064
Threshold uncertainty score0.936

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)0.0640.000

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 head0.034
GPT teacher head0.242
Teacher spread0.209 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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