Conjugated Polymer with Polydiacetylene Cross-Links Through Topochemical Polymerization of 1,3-Butadiyne Moieties Toward Photopatternable Thin Films
Bibliographic record
Abstract
A new methodology to covalently cross-link π-conjugated polymers by generating π-conjugated bridges was developed through the topochemical polymerization of 1,3-butadiyne moieties. Isoindigo-based oligomers containing 1,3-butadiyne were prepared and amide moieties were incorporated to enable hydrogen bonding which promoted an optimal morphology for cross-linking through 1,4-addition. Moreover, the molecular weight of the semiconducting materials was carefully controlled to promote crystallinity, leading to the formation of a nanofibrillar network. Upon formation of polydiacetylene cross-links, the resulting conjugated polymeric network was characterized using grazing incidence X-ray diffraction, Raman spectroscopy, atomic force microscopy, and optical spectroscopy. Furthermore, transient absorption and fluorescence spectroscopy were used to probe for the effect of the new π-conjugated cross-links on photophysical properties. The new π-conjugated bridges were shown to maintain the morphology and the photophysical properties while altering other important properties for polymer processing, such as the solubility. This new, mild, and additive-free photo-cross-linking approach is particularly promising for the patterning and processing of π-conjugated materials and the rigidification of conjugated polymeric network, thus creating new opportunities for the processing of organic semiconductors and fabrication of organic electronic devices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".