DEI Analysis of an OTP EPROM: Dynamic Electroluminescence Imaging (DEI) Applied to an OTP EPROM Memory Device
Bibliographic record
Abstract
Abstract Dynamic electroluminescence imaging (DEI) is a noninvasive means of obtaining high-resolution timing information from a CMOS circuit. This article reports timing measurements made on a 512K-bit EPROM enabled by the use of optical methods alone. The equipment to observe DEI is comprised of a Karl Suss probe station equipped with a position dissecting photomultiplier tube called a MEPSICRON. To demonstrate the power of the technique a 512Kbit EPROM in ~1 micron technology was prepared for DEI Measurement. The EPROM circuitry was exposed for DEI measurement by decapsulating the part with acids. DEI images are recorded in the region of the tri-state drivers for bond pads D0 through D3 and in the region of bond pad D0. The results demonstrate timing information with up to 11 ps time resolution that is correlated with the chip circuitry. DEI has obvious applications in performance evaluation, failure analysis, intellectual property evaluation, and prototype testing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".