Practicality of Single Microscope Failure Analysis for Fault Isolation, Analysis, and Advanced TEM Sample Preparation by the Integration EBAC and EDS on FIBSEM
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Device failure analysis typically requires multiple systems for fault identification, preparation and analysis. In this paper we discuss the practicalities and limits of using a single FIBSEM system for a complete failure analysis workflow. The theoretical requirements of using a nanomanipulator for both lamella lift out and electrical testing are discussed and the current capabilities of windowless X-rays detectors for chemical analysis demonstrated. When the required resolution for failure analysis exceed the limits of a FIBSEM and TEM is required, the combination of the nanomanipulator and X-ray detector for advanced lift out and thickness controlled thinning techniques are demonstrated to prepare exceptional quality lamellae.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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