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Record W2014446007 · doi:10.1142/s0219581x12400248

RECENT DEVELOPMENTS ON 3D INTEGRATION OF METALLIC SET ONTO CMOS PROCESS FOR MEMORY APPLICATION

2012· article· en· W2014446007 on OpenAlexaff
Nicolas Jouvet, Mohamed Amine Bounouar, Serge Ecoffey, C. Nauenheim, Arnaud Beaumont, S. Monfray, Andreas Ruëdiger, Françis Calmon, A. Souifi, Dominique Drouin

Bibliographic record

VenueInternational Journal of Nanoscience · 2012
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsInstitut National de la Recherche ScientifiqueInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
Fundersnot available
KeywordsCMOSStatic random-access memoryMaterials scienceTransistorFabricationSet (abstract data type)Back end of lineProcess (computing)Memory cellOptoelectronicsElectronic engineeringNanotechnologyElectrical engineeringComputer scienceLayer (electronics)VoltageEngineering

Abstract

fetched live from OpenAlex

This work presents a nanodamascene process for a CMOS back-end-of-line fabrication of metallic single electron transistor(SET), together with the use of simulation tools for the development of a SET SRAM memory cell. We show room temperature electrical characterizations of SETs fabricated on CMOS with relaxed dimensions, and simulations of a SET SRAM memory cell. Using their physical characteristics achievable through the use of atomic layer deposition, it will be demonstrated that it has the potential to operate at temperature up to 398 K, and that power consumption is less than that of equivalent circuit in advanced CMOS technologies. In order to take advantage of both low power SETs and high CMOS drive efficiency, a hybrid 3D SET CMOS circuit is proposed.

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.

How this classification was reachedexpand

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.219

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 head0.046
GPT teacher head0.324
Teacher spread0.278 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2012
Admission routes1
Has abstractyes

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