Use of the focused ion beam to locate failure sites within electrically erasable read only memory microcircuits
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
Occasional electronically erasable programmable read only memory retention failures occurred after thousands of read write cycles. The physical sites of the failed cells were known, but not their location within the individual memory bits. Memory storage transistors have normal gate oxides and thinner tunneling oxide regions for programming. Focused ion beam (FIB) images are brighter when samples are grounded due to a passive voltage contrast mechanism. Thus, using precision etching and polishing to expose memory cells, transistors with leaky (grounded) gate-to-channel characteristics stand out. FIB examination successfully identified the failed transistors and additionally highlighted previously undetected leaky but still functional cells. FIB etching was next used to physically isolate the normal gate and tunneling oxide regions of failed transistors. This proved that the leakage only occurred within the tunnel oxide regions. Further analysis using precision focused ion beam/transmission electron microscopy cross sectioning and atomic force microscopy, identified local thickness reductions in the tunnel oxide which occurred during manufacture. Gate dielectric breakdown failures increase very rapidly with reduced thickness. Calculations showed that unacceptable gate oxide leakage would develop in a time comparable with the observed memory loss failures.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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