Indirect Molecular Epitaxy: Deposition of <i>n</i>-Alkane Thin Films on Au Coated NaCl(001) and HOPG(0001) Surfaces
Bibliographic record
Abstract
The epitaxial growth of organic molecules can lead to the formation of complex orientated morphologies. In previous work, we studied the kinetic and thermodynamic factors that drive the epitaxial growth of n-alkane thin films on HOPG(0001) and NaCl(001) by physical vapor deposition. A wide variety of morphologies are observed as a function of deposition conditions (substrate temperature, n-alkane chain length, etc.). In the current study we examine how a modified substrate (Au deposited on a HOPG(0001) or NaCl(001) substrate) affects the epitaxial growth of n-C36H74 (50 nm thick) relative to the uncoated substrates. This "indirect epitaxy", in which the patterned attractive forces of the substrate are transferred through a thin metal film, can tailor the conditions for epitaxial growth. The observation of fourfold symmetry for n-alkane growth on Au/NaCl(001) and sixfold symmetry for n-alkane growth on Au/HOPG(0001) demonstrates indirect epitaxy over a wide range of substrate temperatures during deposition.
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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".