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DEI Analysis of an OTP EPROM: Dynamic Electroluminescence Imaging (DEI) Applied to an OTP EPROM Memory Device

2004· article· en· W3116435867 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings - International Symposium for Testing and Failure Analysis · 2004
Typearticle
Languageen
FieldEngineering
TopicIntegrated Circuits and Semiconductor Failure Analysis
Canadian institutionsInstitute for Microstructural Sciences
Fundersnot available
KeywordsEPROMElectroluminescenceCMOSPhotomultiplierNon-volatile memoryComputer scienceComputer hardwareElectrical engineeringMaterials scienceEngineeringLayer (electronics)

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.234
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it