Si(557)-Ag: A metallic quasi-one-dimensional system
Bibliographic record
Abstract
A quasi-one-dimensional (1D) system was fabricated by adsorbing one-fifth of a monolayer of Ag onto a Si(557) surface. Structural investigations performed with electron diffraction and scanning tunneling microscopy provided evidence of a midterrace row of Si adatoms with $2\ifmmode\times\else\texttimes\fi{}$ periodicity along $[1\overline{1}0]$, parallel to the step edges. A similar feature is also found in the Si(557)-Au system. Period doubling along $[1\overline{1}0]$ is also found in the Si(557)-Au system. However, the lattice gas of extra Si adatoms, that is a distinctive feature of Si(557)-Au [J. N. Crain et al., Phys. Rev. Lett. 90, 176805 (2003)], is absent in Si(557)-Ag. Inverse photoemission studies of the Si(557)-Ag energy bands revealed a Fermi level crossing parallel to the step edges along $\overline{\ensuremath{\Gamma}K}$ at $0.5\ifmmode\pm\else\textpm\fi{}0.1\phantom{\rule{0.3em}{0ex}}{\mathrm{\AA{}}}^{\ensuremath{-}1}$. In the orthogonal direction $(\overline{\ensuremath{\Gamma}{M}^{\ensuremath{'}}})$, the dispersion of this band is flat, indicating that the adlayer system has a quasi-1D symmetry. Another state with anisotropic dispersion is free-electron-like along $\overline{\ensuremath{\Gamma}K}$ but, once again, flat along $\overline{\ensuremath{\Gamma}{M}^{\ensuremath{'}}}$. This is likely to be an image state that is in resonance with the bulk bands of Si and also perturbed by the quasi-1D surface reconstruction.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".