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Record W2015696318 · doi:10.1109/redw.2006.295475

Biased-Irradiation Characteristics of the Floating Gate Switch in FPGA

2006· article· en· W2015696318 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadiation Effects in Electronics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSpiceIrradiationField-programmable gate arrayFlash (photography)Threshold voltageVoltageFocus (optics)Radiation hardeningRadiationLogic gateMaterials scienceComputer scienceOptoelectronicsElectrical engineeringElectronic engineeringTransistorPhysicsEngineeringEmbedded systemOpticsNuclear physics

Abstract

fetched live from OpenAlex

The radiation characteristic of the floating-gate switch in a 0.22 mum flash-based FPGA is investigated by measuring the threshold voltage after each stage of X-ray irradiation. The focus is on the applied bias on the floating-gate device during irradiation. A two-parameter, semi-physical model is used to fit the experimental results. For an erase or write state with a particular irradiation-bias, a set of two fitting parameters can accurately determine the threshold voltage with respect to total radiation dose. The modeling result can be easily integrated into the SPICE simulator for circuit design purposes

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.002
GPT teacher head0.167
Teacher spread0.165 · 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

Quick stats

Citations26
Published2006
Admission routes1
Has abstractyes

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