Approaching highly stable optoelectronic device operation at elevated temperature by locking backbone torsion of conjugated polymers
Bibliographic record
Abstract
The ability of organic electronics to maintain stability at elevated temperatures is crucial for the longevity of optoelectronic devices. However, achieving stable optoelectronic properties for conjugated polymers remains fundamentally challenging. Here, we identify backbone twisting motion as the primary reason for the unstable optoelectronic properties of donor-acceptor (D-A) conjugated polymers, using diketopyrrolopyrrole (DPP)-based polymers as a model system. The backbone thiophene-ring twist transition is responsible for shifts in the band gap and alterations in charge transport properties. The twisting motion of the thiophene induces localization of the intrachain electrons, resulting in reduced charge carrier mobility and a significant blue shift in optical absorption. Additionally, we demonstrated that intramolecular hydrogen bonding interaction within DPP polymers can suppress undesired backbone twisting at elevated temperatures, thereby ensuring a more stable optoelectronic property. Our work offers fundamental insights into the decline in device stability at elevated temperatures and a strategy to enhance device stability.
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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 | 0.000 |
| 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".