Structural characteristics of thermally advanced polymer with intrinsic microporosity for application as flexible OLED substrate
Bibliographic record
Abstract
The chemical and structural characteristics of solution-processed polymer with intrinsic microporosity (PIM) based on 9, 9-bis (4-hydroxyphenyl) fluorene (BHPF) film is investigated. A fully flexible and transparent PIM film exhibiting uniform and high transmittance of more than 90% within the visible light range is demonstrated. The stability of the PIM film is further demonstrated with relatively stable coefficient of thermal expansion (CTE) characteristics. Additionally, the film has high heat resistance that can withstand high-temperature processes at 250 °C. The PIM film exhibits a remarkably high glass transition temperature (Tg) of 294.7 °C, indicating the thermal stability of the film at elevated temperatures. The PIM film also exhibits relatively high surface energy, low surface roughness (Rq), and peak-to-valley values of 0.45 and 4.4 nm, respectively. This surface morphology confirms the PIM film’s superior characteristic in preventing short circuits or leakage in current paths in an organic electronic device. Finally, the PIM film is successfully tested as a substrate for a bottom-emitting organic light-emitting diode (OLED). The investigation has proven PIM film to be a good candidate to be adopted as a substrate in fabricating advanced organic electronic devices and next-generation displays.
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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".