Crack propagation and electronic properties of semiconducting polymer and siloxane-urea copolymer blends
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A persistent challenge in the field of organic electronics is balancing the optoelectronic properties of π-conjugated semiconducting polymers with their thermomechanical properties. A popular and effective approach to resolve this dichotomy is to blend π-conjugated polymers with amorphous, stretchy elastomers. In this work, poly(diketopyrrolopyrrole- co -thienovinylthiophene) was blended with an easily-prepared poly(dimethylsiloxane)-based phenylurea copolymer (PDMS-PU) to further explore this approach. Interestingly, the differing surface energy and polarity of this soft amorphous copolymer in comparison to other common siloxane-based polymers blended with conjugated polymers showed little impact on the solid-state morphology. Various techniques were used to evaluate the properties of the polymer blends, including atomic force microscopy, UV–vis spectroscopy, and x-ray diffraction. An in-depth morphological evaluation was performed on the blend at varying strain, elucidating the formation of cracks at the nanoscale. The results show a significant decrease in crystallinity and increase in crack onset with increased PDMS-PU content. Fabrication of organic field-effect transistors (OFETs) utilizing the new polymer blends exhibited charge mobility up to 8.2 × 10 −2 cm 2 V −1 s −1 , and charge transfer characteristics up to 75 wt.% PDMS-PU content. The study shows the promise of PDMS-PU/conjugated polymer blends for use in OFETs, and towards the large-scale preparation of mechanically robust and stretchable electronic devices.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it