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Record W1820430086 · doi:10.1109/tns.2015.2429589

A 32 kb Macro with 8T Soft Error Robust, SRAM Cell in 65-nm CMOS

2015· article· en· W1820430086 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

VenueIEEE Transactions on Nuclear Science · 2015
Typearticle
Languageen
FieldEngineering
TopicRadiation Effects in Electronics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSoft errorCMOSStatic random-access memoryMacroTransistorVoltageElectronic engineeringSingle event upsetMemory cellAccess timeComputer scienceMaterials scienceElectrical engineeringOptoelectronicsComputer hardwareEngineering

Abstract

fetched live from OpenAlex

A 32-kb macro containing an eight-transistor soft error robust SRAM cell with differential read and write capabilities is presented. The 8T cell does not have dedicated access transistors, and its quad-latch configuration stores data on four interlocked storage nodes. The macro was designed in a 65-nm CMOS process. The cell demonstrates excellent read data stability down to 0.55 V and is well suited for low-voltage, low-power applications. Neutron radiation testing on the macro exhibits at least 15× improvement in Failure in Time (FIT) rate compared with the conventional 6T SRAM cell in 65-nm CMOS technology.

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 score0.160
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.209
Teacher spread0.196 · 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