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Record W2497057318 · doi:10.1021/acs.macromol.5b01225

Conjugated Polymers with Switchable Carrier Polarity

2015· article· en· W2497057318 on OpenAlexafffund
Colin R. Bridges, Chang Guo, Han Yan, Mark B. Miltenburg, Pengfei Li, Yuning Li, Dwight S. Seferos

Bibliographic record

VenueMacromolecules · 2015
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of WaterlooUniversity of Toronto
FundersUniversity of TorontoCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaMcMaster UniversityDuPontAlfred P. Sloan Foundation
KeywordsConjugated systemSide chainPolymerAmbipolar diffusionHOMO/LUMOMonomerChemistryPhotochemistryPolymerizationPolymer chemistryPolarity (international relations)Materials scienceSolventCopolymerElectronOrganic chemistryMolecule

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Stimuli responsive polymers can change their properties as a result of their environment. Factors such as temperature, light, pH, or solvent can all trigger a polymer response. We present conjugated polymers with switchable carrier polarity, accomplished using a functional group that can be converted from electron donating to electron withdrawing. The polymers presented herein are polyselenophenes containing α-ketal side-chains. The α-ketal side-chains can be converted to electron withdrawing α-ketone side-chains postpolymerization. Since the starting monomer is relatively electron-rich, it can be polymerized using chain growth methods. Switching the electron donating ability of the side chain postpolymerization is an effective way to synthesize electron-deficient conjugated polymers from electron-rich monomers. Whereas the α-ketal polymer has optoelectronic properties that are consistent with other electron-rich (p-type) polymers, the α-keto polymer features a broad red optical-absorption, narrow HOMO–LUMO gap (∼1.5 eV), low-lying HOMO and LUMO levels, and ambipolar charge transport properties. We support these observations using density functional theory calculations.

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 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 score0.012
Threshold uncertainty score0.398

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)0.0000.000

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 head0.024
GPT teacher head0.254
Teacher spread0.229 · 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.

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

Citations15
Published2015
Admission routes2
Has abstractyes

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