An N-annulated perylene butyl tetraester for alcohol processed semiconducting organic thin films
Bibliographic record
Abstract
Abstract Herein, we report on the design and synthesis of an N-annulated perylene butyl tetraester (PTEN-H) for use in alcohol processed semiconducting films. PTEN-H was contrasted with the known N-annulated perylene diimide (PDIN-H) where the former has ring-opened imide positions which in turn lowers the electron affinity (i.e. rendering hole transporting) and improves polar green solvent solubility. PTEN-H can be solubilized in 1-butanol up to 10 mg ml−1 with gentle heating and can be spin-cast or slot-die coated to form uniform thin films on glass and/or plastic substrates. Organic field-effect transistors (OFETs) were fabricated using PTEN-H in the active material layer which was deposited from solution using 1-butanol as the solvent. While hole mobilities were achieved (0.39 × 10−4 cm2 Vs−1), blending the molecular material with a previously reported green solvent processable semiconducting polymer, IIG20-OH, was done to boost performance. This led to increased mobilities for not only the native molecular PTEN-H material, but for the native IIG20-OH polymer as well. Furthermore, a blend of PTEN-H and IIG20-OH were slot-die coated onto a polyethylene terephthalate (PET) substrate giving uniform thin films suitable for large area device fabrication.
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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 | 0.001 |
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".