Correlating Morphology, Molecular Orientation, and Transistor Performance of Bis(pentafluorophenoxy)silicon Phthalocyanine Using Scanning Transmission X-ray Microscopy
Bibliographic record
Abstract
Understanding the effect of processing conditions on thin-film morphology is required to develop high-performance organic thin-film electronics such as organic thin-film transistors. Thin films of bis(pentafluorophenoxy) silicon phthalocyanine (F 10 -SiPc) were evaporated onto surfaces treated with or without octyltrichlorosilane while being held at different substrate temperatures from room temperature to 150 °C. Scanning transmission X-ray microscopy (STXM), performed at various orientations of the linearly polarized monochromatic X-rays, was used to investigate the resulting film morphology. By monitoring the intensity of the π C═C * transition from the fluorinated substituent as a function of the polarization angle, we were able to determine the local molecular orientation. Processing the compositional maps enabled the development of structure–property relationships between processing conditions through plane domain sizes and grain boundaries. Atomic force microscopy, which only characterizes the thin-film surface, corroborated the STXM morphology results. This study highlights the potential of STXM to enable a comprehensive characterization across the entire thickness of silicon phthalocyanine thin films and simultaneously prove molecular orientational maps in addition to the morphological features of the domains of the film, not just the surface.
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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".