A scanning probe study of some short chain self-assembled alkylsilane films
Bibliographic record
Abstract
Trichloroalkylsilanes readily form self-assembled monolayers (SAMs) on mica surfaces. The present work uses scanning probe methods (atomic force microscopy (AFM), chemical force microscopy (CFM) and nanoindentation) to study aspects of the assembly process and the properties of some short chain forms of these self-assembled monolayers. The deposition of propyltrichlorosilane (CH3CH2CH2SiCl3, PTS) and allyltrichlorosilane (H2CCHCH2SiCl3, ATS) at varying temperatures (−78 °C to +25 °C) on mica substrates has been examined. The ATS films were subsequently modified by oxidation to form a –COOH terminated species. These films were characterized by chemical force microscopy using functionalized tips at varying pH values. In addition, nanoindentation was utilized to study the Young's modulus and hardness of the films. We find that at low deposition temperatures, smooth overlayers of these short chain films are formed, without the formation of polymerised aggregates that are seen at higher temperatures. The surface ordering also appears to be higher under these conditions. The surface pKa of the oxidized ATS is larger than that of the longer chain analogue previously characterised by chemical force microscopy. Nanoindentation can readily distinguish between ordered and polymerised aggregates on 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".