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Record W4406618797 · doi:10.1021/acs.macromol.4c02166

Investigating the Degradability and Optoelectronic Properties of π-Conjugated Polymers with 1,2,4-Chalcogenadiazole Linkers

2025· article· en· W4406618797 on OpenAlexafffund
Bryton R. Varju, Alan J. Lough, Dwight S. Seferos

Bibliographic record

VenueMacromolecules · 2025
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoCanada Foundation for InnovationOntario Research Foundation
KeywordsConjugated systemPolymerMaterials sciencePolymer chemistryOptoelectronicsChemistryComposite material

Abstract

fetched live from OpenAlex

As the world is now facing the inevitability of forever plastics, all new high-performance polymers require careful design. Building on our previous work on the degradable 1,2,4-oxadiazole linker for conjugated polymers, we investigate the effects of chalcogen substitution in the linker on the optoelectronic and degradation properties of the π-conjugated polymers. Small molecule models were used to demonstrate the photodegradation of the linkers in the presence of methanol. The syntheses of polymers containing 1,2,4-thiadiazole and 1,2,4-selenadiazole linkers by direct heteroarylation polymerization are reported. As heavier chalcogen atoms are substituted into the 1,2,4-chalcogenadiazole linker, the optical HOMO–LUMO gap becomes smaller. This effect is due to the stabilization of the HOMO and destabilization of the LUMO as heavier chalcogen atoms are substituted. The polymers incorporating the 1,2,4-oxadiazole and 1,2,4-thiadiazole linkers show evidence of photodegradation by 1 H NMR and gel permeation chromatography.

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 score0.002

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 head0.006
GPT teacher head0.184
Teacher spread0.178 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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