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Record W7043734658

Synthesis and self-assembly of gradient copolymers

2016· dissertation· en· W7043734658 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsMcGill University
Fundersnot available
KeywordsCopolymerDispersityPolymerPolymerizationStyreneMethyl methacrylateLiving polymerizationRadical polymerization
DOInot available

Abstract

fetched live from OpenAlex

Controlled free radical polymerization allows for the fine control of many key properties of polymers such as the molecular weight, dispersity and composition.Consequently, this permits the attainment of interesting microstructures such as block or tapered/gradient copolymers.In particular, nitroxide-mediated polymerization (NMP) was applied and used for the polymerization of methyl methacrylate (MMA) and styrene (St) block and tapered gradient polymers.With the defined composition and molecular weight, such copolymers are able to self-assemble into sub-50 nm domains.In this thesis, gradient copolymers synthesized in semibatch mode were produced with varying composition and gradient profiles by alternating the rate of St addition and the length of the reaction.Their self-assembly performance was assessed relative to block copolymers with identical molecular properties and found to have similar feature sizes.However, with increasing gradient length, the self-assembly is negatively affected, producing films with very little order and much higher defect densities than block copolymers or polymers with short gradient lengths. RÉSUMÉLa polymérisation radicale contrôlée permet le contrôle précis de plusieurs propriétés clés des polymères, tels que la masse moléculaire, dispersité et composition.Par conséquent, ce qui permet la réalisation de microstructures intéressants tels que copolymères bloque ou gradient.En particulier, on a appliqué la polymérisation nitroxide-médié (NMP) pour polymériser le méthacrylate de méthyl (MMA) et le styrène (St) en copolymères bloque et gradient.Avec la composition et masse moléculaire définie, ces polymères peuvent effectuer l'auto-assemblage en domaine moins de 50 nm.Dans cette thèse, des copolymères gradient ont été synthétisé en manière semi-continu avec profils de composition et de gradient variant en alternant le taux d'addition de St et la durée de la réaction.Leur performance d'auto-assemblage a été évaluée par rapport à des copolymères bloque ayant des propriétés moléculaires identiques et ont été trouvés à avoir des tailles de domaines similaire.Cependant, avec l'augmentation de la longueur de gradient, l'auto-assemblage est négativement affecté, la production de films avec très peu d'ordre et beaucoup plus de défauts que des copolymères bloque ou des copolymères avec des longueurs de gradient plus courtes.

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 score0.004

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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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
Published2016
Admission routes1
Has abstractyes

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