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Record W2109559089 · doi:10.1109/ccece.2008.4564570

A nanoelectronic memory array design with improved performance

2008· article· en· W2109559089 on OpenAlex
Mrinmoy Barua, Z. Abid

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueConference proceedings - Canadian Conference on Electrical and Computer Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsWestern University
Fundersnot available
KeywordsMultiplexerTransmission gateMemory cellNanodeviceComputer scienceElectronic engineeringInverterCMOSLogic gateElectronic circuitNon-volatile memoryVoltageElectrical engineeringMultiplexingTransistorComputer hardwareEngineeringMaterials scienceNanotechnology

Abstract

fetched live from OpenAlex

We present the design of a nanoelectronic memory array compatible with molecular switch (nanodevice) electrical characteristics. The proposed transmission gate based CMOL (hybrid CMOS / molecular) memory cell surmounts the operational difficulties facing the existing CMOL cell. The control circuitry with improved multiplexer design is introduced in this paper. HSPICE simulation shows that the required voltage levels can be achieved by using the proposed designs. Yield improvement through replacing the defective cell with a free cell can be achieved using a proposed algorithm. Moreover, the proposed memory cell has the same area as the existing CMOL inverter cells allowing easier implementation of both logic and memory circuits on the same chip.

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 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 score0.933
Threshold uncertainty score1.000

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 head0.015
GPT teacher head0.160
Teacher spread0.145 · 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