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Record W2966420843 · doi:10.1021/acs.macromol.9b00904

Uniform, High-Aspect-Ratio, and Patchy 2D Platelets by Living Crystallization-Driven Self-Assembly of Crystallizable Poly(ferrocenyldimethylsilane)-Based Homopolymers with Hydrophilic Charged Termini

2019· article· en· W2966420843 on OpenAlexaff
Samuel Pearce, Xiaoming He, Ming-Siao Hsiao, Robert L. Harniman, Liam R. MacFarlane, Ian Manners

Bibliographic record

VenueMacromolecules · 2019
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Victoria
FundersFP7 Ideas: European Research CouncilEngineering and Physical Sciences Research Council
KeywordsCrystallizationSelf-assemblyPolymer chemistryMaterials scienceChemical engineeringMorphology (biology)Polymer scienceChemistryNanotechnology

Abstract

fetched live from OpenAlex

Two-dimensional (2D) seeded growth of poly(ferrocenyldimethylsilane) (PFS) homopolymers that possess hydrophilic charged termini in solution has been investigated using the living crystallization-driven self-assembly method. The charge-terminated homopolymers, PFSn[NMe3]I, were synthesized through a combination of living anionic polymerization and post-polymerization thiol–ene “click” chemistry. Uniform and patchy high-aspect-ratio 2D structures were obtained by seeded growth in solution. We show that the aspect ratio of the resultant 2D platelets could be controlled over a wide range (ca. 2–20) by changing either the solvent polarity of the medium in which seeded growth was conducted, the substituents on the charged terminal group, or the characteristics of the seed micelle. The counteranion associated with the charge-terminated PFS[NMe3]+ homopolymers was found to have a substantial effect on the resulting morphology and colloidal stability of the resulting 2D platelets, which may be a consequence of relatively high charge density of the terminal quaternary ammonium cation.

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 categoriesMeta-epidemiology (narrow)
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 score0.006
Threshold uncertainty score1.000

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)0.0010.000

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 head0.003
GPT teacher head0.185
Teacher spread0.182 · 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

Citations40
Published2019
Admission routes1
Has abstractyes

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