Electrochemically Driven Assembly of Mixed Dithiol Bilayers via Sulfur Dimers
Bibliographic record
Abstract
We report on the electroformation of mixed bilayers of rigid (1,4-benzenedimethanethiol) and flexible (1,6-hexanedithiol) dithiols on Au(111) from alkaline aqueous solution. These bilayers are formed by first electrodepositing a monolayer of vertically aligned dithiols. The unreacted dithiols are then oxidatively dimerized with the other dithiols, and a bilayer is formed. ACIS (ac impedance spectroscopy) measurements indicate that the monolayer of the rigid dithiol is a better substrate for dimerization than the flexible dithiol. ACIS also reveals that the electroformation of a bilayer is more complete, and the bilayer has fewer defects than one obtained through chemical incubation. Infrared reflection−absorption spectroscopy provides proof for mixed-bilayer formation of the alkanedithiol with the benzenedimethanethiol having its methylene groups deuterated. The mechanism for bilayer formation via the oxidative dimerization of thiols is supported by high-resolution electron energy loss spectra of bilayers, which show a S−S stretch at 515 cm - 1 . Our results show that this electrochemical approach is a viable methodology for the formation of complex organic interfaces.
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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".