Defining nanoscale metal features on an atomically clean silicon surface with a stencil
Why this work is in the frame
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Bibliographic record
Abstract
Metal features with nanometer scale edge definition have been created on an atomically clean Si(001) surface with a stencil. These features were subsequently characterized by scanning tunneling microscopy and scanning electron microscopy. The stencil was brought into contact with the substrate while allowing the stencil to pivot so that it self-aligned parallel to the substrate surface. With this simple method, feature edge spreading was reduced to less than 10 nm in the best case. At the same time, atomic resolution images of the metal feature/silicon boundary showed significant spreading of a sub-monolayer of metal beyond the deposited area. This spreading may pose a limit on the ultimate resolution that can be achieved for metals deposited on atomically clean silicon surfaces.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it