Investigating the impact of SEM chamber conditions and imaging parameters on contact resistance of<i>in situ</i>nanoprobing
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Bibliographic record
Abstract
In this paper, we investigate the impact of vacuum chamber conditions (cleanliness level and vacuum pressure) and imaging parameters (magnification and acceleration voltage) of scanning electron microscopy (SEM) on the contact resistance of two-point in situ nanoprobing of nanomaterials. Using two typical types of conductive nanoprobe, two-point nanoprobing is performed on silicon nanowires, during which changing trends of the nanoprobing contact resistance with the SEM chamber conditions and imaging parameters are quantified. The mechanisms underlying the experimental observations are also explained. Through systematically adjusting the experimental parameters, the probe-sample contact resistance is significantly reduced from the mega-ohm level to the kilo-ohm level. The experimental results can serve as a guideline to evaluate electrical contacts of nanoprobing and instruct how to reduce the contact resistance in SEM-based, two-point nanoprobing.
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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