P‐104: Low Pressure Hot Wall Deposition of Mono‐Crystalline Rubrene Thin Films for Organic Thin Film Transistors
Bibliographic record
Abstract
Abstract Mono‐crystalline Rubrene (5,6,11,12‐Tetraphenylnaphthacene) thin films with thickness between 1 μm and 10 μm with grain sizes as large as 100 μm × 2 mm were successfully deposited on OTS(octadecyltrichlorosilane) coated TFT substrates by a low pressure and hot wall deposition method. Organic thin film transistors based on these high quality thin films have μ average of 1.77 cm 2 /V‐s and μ max of 2.47 cm 2 /V‐s, ON/OFF current ratios around 10 6 . The morphologies and crystallinities of rubrene thin films deposited under different conditions were studied with X‐ray diffraction analysis. The average field effect mobility values of OTFTs based on these rubrene films were also compared to determine the optimal film deposition conditions.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".