Adsorption and thermal decomposition of acetic acid on Si(111)7×7 studied by vibrational electron energy loss spectroscopy
Bibliographic record
Abstract
Vibrational electron energy loss spectroscopy (EELS) has been used to characterize the adsorption of acetic acid on Si(111)7 x 7 at room temperature and as a function of annealing temperature. At room temperature, acetic acid is found to undergo O-H dissociative adsorption to form predominantly unidentate adstructure. The equilibrium geometry and the corresponding characteristic vibrational wavenumbers of the adstructures were obtained by density functional theory calculations and are found to be in good accord with the vibrational EELS data. Annealing the sample near 473 K marked the onset of C-O dissociation of the acetate adstructure with the emergence of Si-O-Si vibrational modes at 720 and 1020 cm(-1). Further annealing to 673 K caused a marked intensity reduction in the C-C stretch at 930 cm(-1) and in the CH(3) vibrational features at 1360 and 2990 cm(-1), suggesting further dissociation of the adstructures. The complete removal of the blueshifted Si-H stretching mode at 2275 cm(-1) upon further annealing to 773 K is consistent with the recombinative desorption of H(2) from Si monohydrides expected in this temperature range. The emergence of the Si-C stretching mode at 830 cm(-1) at 873 K is in good accord with the formation of SiC. Similar thermal evolution of the vibrational features have also been observed for acetic acid adsorption on a sputtered Si(111) 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".