Damage‐Free Depth Profiling of Electronic Structures in Multilayered Organic Semiconductors by Photoelectron Spectroscopy and Cluster Ion Beam
Bibliographic record
Abstract
The chemical and electronic properties of multilayers are known to dictate the performance of organic semiconductor devices. Gas cluster ion beam (GCIB) is developed for removing layer‐by‐layer molecular materials from surfaces. It is, however, not clear whether GCIB sputter can leave a damage‐free surface so that the true chemical and electronic properties can be measured. Herein, X‐ray and ultraviolet photoelectron spectroscopy (XPS and UPS) are used to probe the chemical and electronic structures of organic semiconductors bombarded by GCIB. It is found that the highest occupied molecular orbitals (HOMOs) measured by UPS are very sensitive to ion‐beam bombardment, whereas the XPS‐measured core levels show little change. It is, therefore, essential to use UPS for determining whether the chemical and electronic properties are damaged. Of all combinations of cluster size and beam energy, it is found that 4 keV 2000 argon ion cluster can produce a fresh damage‐free organic surface. Applying this optimal beam to sputter stacked films comprising tris(8‐hydroxy‐quinoline) aluminum (Alq3)/N,N′‐bis‐(1‐naphthyl)‐N,N′‐diphenyl‐1,1′‐biphenyl‐4,4′‐diamine (NPB)/Alq3, it is shown that the chemical and electronic structures of the buried interfaces can be measured. This work demonstrates that photoelectron spectroscopies combined with GCIB can be used to construct chemical and electronic structures of multilayers in organic devices.
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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".