Photoelectrochemical Generation of Electronically Conducting Polymer-Based Hybrid Junctions on Modified Si(111) Surfaces
Bibliographic record
Abstract
The modification of Si(111) surfaces with Si−C linked alkyl monolayers terminated by electrochemically polymerizable di(2-thienyl)carbinol moieties has been investigated by different spectroscopic techniques including IR spectroscopy, X-ray photoelectron spectroscopy (XPS), and high-resolution electron energy loss spectroscopy (HREELS). These surfaces were prepared from the photochemical reaction of ethyl undecylenate with hydrogen-terminated Si(111), followed by the conversion of the produced terminal ester groups into the tertiary alcohol using 2-thienyllithium. Despite the steric constraints induced by the aromatic rings in the monolayer, the absolute surface coverage of the organic chains was found to be high, ca. 40%. Differential capacitance measurements revealed that the derivatization procedure introduced surface states probably due to some oxidation of the Si(111) surface occurring during the photochemical step. The photopotentiodynamical oxidation of the modified Si(111) surfaces in the presence of thiophene yielded strongly adherent and smooth conducting polythiophene films. These photoelectrogenerated hybrid polythiophene−silicon junctions were then characterized by ex situ electrical measurements (dc transport, ac impedance, and surface potential measurements). The expected diode behavior due to the formation of a Schottky barrier at the alkyl/Si(111) interface was clearly observed although the rectification was rather weak and the characteristics highly nonideal. The surface states at the silicon interface were found to play a major role in determining the electrical properties of such junctions.
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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".