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Record W2468577728 · doi:10.7567/ssdm.2006.c-6-3

Very Low Bit Error Rate in Flash Memory using Tunnel Dielectrics formed by Kr/O2/NO Plasma Oxynitridation

2007· article· en· W2468577728 on OpenAlexaff
Tomoyuki Suwa, H. Takahashi, Yuki Kumagai, Genya Fujita, Akinobu Teramoto, Shigetoshi Sugawa, Tadahiro Ohmi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsFlash (photography)Materials scienceDielectricFlash memoryPlasmaBit (key)OptoelectronicsComputer scienceOpticsComputer hardwarePhysicsNuclear physics

Abstract

fetched live from OpenAlex

The gate leakage current which influences the charge hold time of flash memories is characterized as very localized in tunnel oxide area. And the leakage current value is relatively low as the quantity of the current. In conventional test-element-group (TEG) for evaluation of this leakage current, the gate leakage current is measured in relatively large area capacitors or transistors, as a result, the localized and low gate leakage current cannot be measured. In this paper, we propose the new concept TEG in which the localized gate leakage current corresponding to the bit error in the flash memory can be measured in short time. We statistically evaluated the stress induced leakage current (SILC) of all cells in very low gate leakage current region (about 10-16 A) in the very short time (a few seconds) and easily confirmed and categorized the localized cells with the large SILC after the stress. In addition, we show that plasma oxynitridation using Kr/O2/NO gases is effective in suppressing the anomalous SILC and carrier traps by statistically evaluation of 60,000 cells in proposed array TEG.

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 score0.113
Threshold uncertainty score0.709

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 head0.230
Teacher spread0.215 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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