Direct proof of mesoscopic misfit in nanoscale islands by x-ray absorption spectroscopy
Bibliographic record
Abstract
Polarization-dependent extended x-ray-absorption fine-structure measurements above the Co-K absorption edge were carried out to experimentally prove the theoretically predicted contraction of interatomic distances in nanoscale Co islands ($\ensuremath{\oslash}\ensuremath{\approx}1$ nm) on Cu(001). Within the Co islands of thickness one monolayer (ML) which were deposited at 160 K substrate temperature, we find an in-plane Co-Co distance of $2.45\ifmmode\pm\else\textpm\fi{}0.02$ \AA{}, significantly shorter than in bulk Co (2.51 \AA{}) and in close agreement with theoretical predictions. The effective in-plane coordination number ${N}_{\mathrm{Co}}^{*}(\ensuremath{\parallel})$ is equal to $3.2\ifmmode\pm\else\textpm\fi{}0.5$ and $5.0\ifmmode\pm\else\textpm\fi{}0.7$ (${N}^{*}=6$ for an infinite island) for samples covered by 0.3 and 0.7 MLs of Co, respectively. The low value for the 0.3 ML sample is related to the finite island size and to about 20$%$ of the intermixing between the adsorbate and substrate atoms. The experimental results are supported by molecular dynamics calculations.
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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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".