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Record W4412156319 · doi:10.1039/d5ra02367j

Engineering solvent resistance in semiconducting polymer films through UV-induced polydiacetylene crosslinking

2025· article· en· W4412156319 on OpenAlexafffund
Amit K. Sur, Audithya Nyayachavadi, Piumi Kulatunga, Nien-Jung Li, Yu‐Cheng Chiu, Simon Rondeau‐Gagné

Bibliographic record

VenueRSC Advances · 2025
Typearticle
Languageen
FieldChemistry
TopicPolydiacetylene-based materials and applications
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for InnovationOntario Research FoundationUniversity of Windsor
KeywordsSolventPolymerMaterials sciencePolymer chemistryChemical engineeringPhotochemistryChemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

UV-induced topochemical polymerization into polydiacetylene (PDA) networks. Raman spectroscopy confirmed PDA crosslink formation, while atomic force microscopy and grazing incidence wide-angle X-ray scattering were used to demonstrate the preservation of polymer film morphology post-crosslinking. Quantitative nanomechanical mapping revealed significant enhancements in mechanical properties upon PDA formation. Additionally, sequential deposition and crosslinking cycles demonstrated the robust solvent resistance of crosslinked films, confirmed by UV-vis spectroscopy. These results highlight topochemical polymerization of diacetylenes as an effective strategy for engineering mechanically robust, solvent-resistant conjugated polymer films suitable for advanced multilayer organic electronics.

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 head0.013
GPT teacher head0.276
Teacher spread0.262 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

Explore more

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