How Xe and Ga FIB Differ in Inducing Lateral Damage on TEM Samples
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Reducing FIB induced damage on TEM samples is very important in order to preserve the sample structure, especially on modern semiconductor devices. We have compared the damage caused by Ga ion beam to our measurements of the damage caused by Xe ion beam and came to the conclusion that Xe ion beam induced damage is significantly lower at 30 keV beam energy. This has been proven by several independent analytical methods. Our results show that TEM sample preparation by Xe ion beam causes less amorphous damage and increase the quality of the lamella and in many cases it will allow to prepare the lamella by finishing it even at 30 keV, without the final cleaning step at the low beam energy. Final polishing step by Xe beam at beam energy 3 keV further reduces the amorphous layer, but the difference against Ga beam is not so significant like at 30 keV.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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