Interfacial Ultraviolet Cross-Linking of Green Bilayer Dielectrics
Bibliographic record
Abstract
Electronic waste is a growing challenge which needs to be addressed through the integration of high-performance sustainable materials. Green dielectric polymers such as poly(vinyl alcohol) (PVA) have favorable electrical properties but are challenging to integrate into thin film electronics due to their physical properties. For example, PVA suffers from poor film formation and is hygroscopic. Bilayer dielectrics with interfacial cross-linking can enable the use of high-performance PVA with favorable surface chemistry by using a hydrophobic poly(caprolactone) (PCL) layer. In this study, we developed a benzodioxinone-terminated PCL layer, which can be UV cross-linked to the hydroxy groups of the PVA dielectric. This air-stable UV-cross-linking PCL dielectric was able to effectively cross-link with PVA, leading to high-performance capacitors and single-walled carbon nanotube-based thin film transistors. This UV cross-linking PCL dielectric led to significant improvements in shelf-life, ease of processing, and similar device performance compared to our previously reported thermally cross-linking PCL layer. The UV cross-linking at the interface between these bilayers can allow for the integration of high-speed roll-to-roll processing, which enables low-cost, sustainable, and high-performance electronics.
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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".