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Record W2044255523 · doi:10.1109/irps.2014.6861156

Stacked-etch induced charge loss in Hybrid Floating Gate cells using high-κ Inter-Gate Dielectric

2014· article· en· W2044255523 on OpenAlexfundno aff
M. B. Zahid, L. Breuil, R. Degraeve, Pieter Blomme, C.-L. Tan, J. G. Lisoni, G. Van den bosch, Jan Van Houdt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsnot available
FundersInstitute of Population and Public Health
KeywordsGate dielectricDielectricNAND gateMaterials scienceGate oxideOptoelectronicsCapacitorHigh-κ dielectricEtching (microfabrication)Amorphous solidAnalytical Chemistry (journal)Electrical engineeringLogic gateNanotechnologyChemistryLayer (electronics)TransistorCrystallographyEngineeringVoltage

Abstract

fetched live from OpenAlex

We investigate the stacked-etch induced charge loss of multi-layer (HfAlO-Al <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> -HfAlO) Inter-Gate Dielectric (IGD) together with a thin Hybrid Floating Gate (HFG), in aggressively scaled planar NAND cells. The results obtained using Bias-Post Program Discharge on no-overlap/overlap capacitors and cells, clearly point out charge loss due to etching damage in Tunnel Oxide (TuOx). On the other hand the inter-gate dielectric damage by stacked etch can be avoided. The etch damage is high with TiN control gate and moderate with amorphous-Si control gate. For short cell featuring Poly-Si control gate, the charge loss occurs through inter-gate dielectric due to the poor interface between inter-gate dielectric / control gate and a degraded intergate dielectric, as suggested by Gate-Side Trap Spectroscopy by Charge Injection and Sensing (GS-TSCIS) and TEM.

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 categoriesMeta-epidemiology (narrow)
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 score0.066
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)0.0010.000

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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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.

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

Citations2
Published2014
Admission routes1
Has abstractyes

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