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Record W2077797107 · doi:10.1109/imw.2012.6213625

Scalability Study of Fully Planarized Hybrid Floating Gate Flash Memory Cells with High-k IPD

2012· article· en· W2077797107 on OpenAlexfundno aff
Pieter Blomme, Jan Van Houdt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsnot available
FundersInstitute of Population and Public Health
KeywordsScalabilityNAND gatePlanarCoupling (piping)Computer scienceCapacitanceNon-volatile random-access memoryMetal gateScalingTopology (electrical circuits)OptoelectronicsMaterials scienceLogic gatePhysicsComputer hardwareElectrical engineeringEngineeringAlgorithmComputer memoryTransistorMathematicsOperating system

Abstract

fetched live from OpenAlex

Scaling of floating gate NAND flash will require switching from conventional control gate wrap-around cells to fully planar memory cells. Due to the low coupling ratio of these cells, both a metal floating gate and high-k IPD are required, and parasitic capacitances in the memory array lead to a further drop in coupling ratio. We study the scalability of these fully planar poly/metal floating gate memory cells below the 25nm node by 3D capacitance and programming simulations. These indicate the importance of using air gap processing for sub-25nm nodes and of the metal floating gate/high-k stack. Assuming ideal air gap processing, we show that 10 nm planar cells can be made functional using the currently available TiN/Al <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> material system for FG/IPD.

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 score0.005
Threshold uncertainty score0.590

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)0.0010.000

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 head0.009
GPT teacher head0.190
Teacher spread0.181 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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