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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".