Thienoisoindigo-based recyclable conjugated polymers for organic electronics
Bibliographic record
Abstract
In transient electronics, imine-based semiconducting polymers based on thiophene-flanked diketopyrrolopyrrole (TDPP) are widely used to realize naturally disposable electronic devices. However, TDPP units easily decomposed even under mildly acidic conditions in the biodegradation of electronic devices. Herein, we have designed and synthesized two chemically recyclable thienoisoindigo (TII)-based polymers bearing an imine bond at the depolymerized position, in which these polymers were prepared from polycondensation reactions of dialdehyde-functionalized monomer TII-(CHO)2 with p-phenylenediamine (PPD) to produce p(TII-PD) and 2,6-naphtalenediamine (2,6ND) to produce p(TII-2,6ND), respectively. Especially, we have examined the recyclability of both polymers. In the degradation process under mildly acidic conditions, our polymers showed excellent degradability within one day, and the TII-(CHO)2 monomer was retrieved with over 90% yield and exhibited remarkable chemical stability over 6 months under the degradation conditions. We prepared the same recycled polymers as p(TII-PD) and p(TII-2,6ND) by utilizing the recovered TII-(CHO)2 monomer. The recycled polymers displayed almost the same physicochemical properties and field-effect mobilities in the order of 10-2-10-3 cm2/Vs as the pristine polymers. These reproducible results suggest that the TII-based monomer unit is an excellent building block for developing fully recyclable semiconducting polymers.
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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) | 0.000 | 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".