Spectroscopic scanning tunnel microscopy of Cl–Si(111)7×7: Determination of Cl–Si σ* resonance line shape
Bibliographic record
Abstract
Scanning tunnel microscopy (STM) of Cl∕Si(111)7×7 at low coverage has been used to carefully measure a trend with sample bias in height contrast between Cl adsorbates and silicon adatoms. The apparent height of the Cl adsorbate increases monotonically with increasing sample bias. In order to help explain the observed trend a model was developed for the tunnel current between a tungsten tip and the Si(111)7×7 surface. The model uses a tight-binding approach incorporating known local density of states information calculated using density functional theory. Simulation of the clean surface STM topography yields the correct appearance in both positive and negative sample bias. Application of the model to Cl∕Si(111)7×7 allowed for a good fit to the observed contrast trend. Valuable new information on the detailed line shape of the Cl–Si σ* antibonding resonance was obtained. Detailed knowledge of this resonance may well be crucial to future understanding of the unique long-range form of tip-induced diffusion and desorption observed on this system.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".