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Record W4232776474 · doi:10.22215/etd/2014-10083

Thermo-Reversible Gelation Of Rod-Coil and Coil-Rod-Coil Molecules Based on Perylene Diimides

2014· dissertation· en· W4232776474 on OpenAlexafffund
Elianne Dahan

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMaterials Science
TopicSupramolecular Self-Assembly in Materials
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Ottawa
KeywordsPeryleneDiimideSolventPolymerAqueous solutionPolymer chemistryMoleculeMaterials scienceChemical engineeringChemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Polymer gelation is a route to obtain highly organized morphologies.The aim of my thesis was to study the physical gelation of covalently attached perylene diimide (PDI) polymers during their self-assembly.With the gelators used, chain entanglement and network formation trap the solvent causing gelation.Hence, forces such as hydrogen bonding are not a requirement.We first describe the thermo-reversible gelation of PDMS via the physical route, without any functionalization.We discuss a solvent system, propylamine or hexylamine, gelled by PDMS, without any filler, catalysts or chemical crosslinks.The simple route to the physical gelation of PDMS was then extended to preparing PDMS attached PDI based gels.Morphological studies showed that of mono-substituted PDI (Mono-PDMS) gels consist of hollow spheres while disubstituted PDI (Di-PDMS) gels consist of ribbons that are folded along the length into an eaves trough.We attributed this gelation to the entanglement of the PDMS, in addition to the πinteraction mediated self-assembly of the perylene segments.We then continued our work with PDI attached to a water-soluble side chain; here we studied the gelation of PDI, substituted with Jeffamine® on one imide nitrogen (MJ-PTCDI) or both (DJ-PTCDI).As with the Di-PDMS and Mono-PDMS, the DJ-PTCDI is a Gemini surfactant and MJ-PTCDI is an inverse macromolecular surfactant.Previous studies in our group showed that self-assembly of the PDI was seen in water and aqueous solvent mixtures, but not in the other non-aqueous solvents.In the present case, the morphology of the gels depended on the amount of solvent: non-solvent ratio.Morphological studies showed that although fibers are not seen for DJ-PTCDI gels, the "chaining" of the spheres seems to be present.The SEM image of the cross section of the MJ-PTCDI sample shows the honeycomb morphology similar to that of DJ-PTCDI.Thus with MJ-PTCDI based gels also, the worm-like vesicular morphology occurs.Formation of worm-like PTCDI Perylene-3,4,9,10-tetracarboxylic diimide MJ-PTCDI Mono Jeffamine monoisopropyl perylene tetracarboxylicacid diimide DJ-PTCDI Jeffamine perylene tetracarboxylicacid diimide FT-IR NMR Fourier Transform Infrared Spectroscopy Nuclear Magnetic Resonance Spectroscopy Å angstroms or 1x10 -10 meters PS Polystyrene PS-PTCDI-PS Polystyrene perylene tetracarboxylicacid diimide M w Weight average molecular weight OM Optical Microscopy SEM Scanning Electron Microscopy µm micrometer nm nanometers DSC Differential Scanning Calorimetry

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)0.0010.000

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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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".

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Citations1
Published2014
Admission routes2
Has abstractyes

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