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Record W7070655227

Preparation and characterization of nucleobase- functionalized poly(phenylenevinylene)

2015· dissertation· en· W7070655227 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolymerCharacterization (materials science)Conjugated systemElectronic materialsOrganic electronicsElectronicsConductive polymer
DOInot available

Abstract

fetched live from OpenAlex

Conjugated polymers (CPs) are unique among organic materials due to their diverse electrical and optical properties. Whereas most polymers are excellent insulators, conducting and semiconducting CPs have found use in several domains of electronics as active circuit components. Their use, however, is limited in part by their relatively disordered microstructure compared to other electronic materials, and the impact this has on their properties. Although polymers are usually microscopically disordered materials, DNA nanotechnology has emerged as a means of creating well-defined structures on remarkably small scales using purely polymeric systems. This fine morphology control is enabled by the great strength and specificity of the base-pairing interactions that take place between / moieties pendant to the main polymer chain. Despite being created by evolution in biological systems, these interactions have been harnessed in entirely artificial contexts as a means of controlling the spatial position of not just DNA strands, but also various functional materials. Inspired by the successes of structural DNA nanotechnology, the synthesis of a nucleobase-functionalized conjugated polymer (NB-CP) has been investigated. Poly(phenylenevinylene) can be used in the production of a wide array of electronic devices, and has been extensively studied. As such, it provided an excellent model system with which to explore the nucleobase-driven control of interactions between CPs. We conducted a thorough review of the diverse synthetic approaches that have been applied to the preparation of PPV, and palladium-catalyzed polymerizations were identified as promising methods of preparing the material. The Stille, Mizoroki-Heck, and Suzuki couplings were explored. Using the Stille reaction, achieving sufficiently large molecular weights proved challenging. Mizoroki-Heck polycondensation under optimized conditions overcame this problem; however, the resulting material was found to contain structural defects due to poor regioselectivity. A new monomer was therefore prepared, and it was found that that the Suzuki coupling could produce low-defect PPV with a degree of polymerization greater than 30. This method was then used to prepare both adenine- and thymine-substituted PPV, which were found to have higher photoluminescence quantum yield than the parent PPV.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.001

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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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