Integration of <i>in situ</i> field-directed sputter sharpening in Scienta Omicron systems
Bibliographic record
Abstract
We have developed a specialized adapter to enable a field-directed sputter sharpening (FDSS) of SPM tips in a commonly used ultrahigh vacuum scanning tunneling microscope (STM). The adapter is for a Scienta Omicron low-temperature STM system equipped with a typical Ar+ sputtering source in an adjoining sample preparation chamber. It interfaces directly with the Omicron transfer plate and tip holder, thereby allowing the FDSS technique to be implemented with minimal additional hardware. We have used C60 molecules to benchmark the performance of the in situ sharpening of electrochemically etched W tips, showing nearly an order of magnitude reduction in the apparent tip diameter. The design of the FDSS adapter presented in this paper enables in situ tip sharpening and demonstrates that the FDSS technique can be applied to produce tips suitable for high-asperity molecules.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".