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Record W1973207990 · doi:10.1143/jjap.49.03ca09

High Speed Six-Transistor Static Random Access Memory Cells Using Single Grain Thin Film Transistors Fabricated at Low Temperature Process

2010· article· en· W1973207990 on OpenAlexfundno aff
Negin Golshani, Jaber Derakhshandeh, Ryoichi Ishihara, C.I.M. Beenakker

Bibliographic record

VenueJapanese Journal of Applied Physics · 2010
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsThin-film transistorStatic random-access memoryMaterials scienceTransistorOptoelectronicsElectronic engineeringElectrical engineeringNanotechnologyVoltageEngineering

Abstract

fetched live from OpenAlex

In this paper we will report successfully fabricated six transistor static random access memory (6T SRAM) cells using single-grain thin film transistors (TFTs). SRAM cells have been designed by analytical calculations and verified by DC and transient simulations. TFTs are fabricated by µ-Czochralski process that consists of making grain filter and Excimer laser crystallization at temperatures below 550 °C. The gate length of transistors are 2 µm. Fabricated SRAM cells based on single grain TFTs, show good read and write static noise margin (SNM and WNM) equal to 0.55 and 0.75 V at 3.3 V power supply, respectively. Finally, excellent read and write access times equal to 13 and 8 ns in 87 MHz worldline frequency were obtained.

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 score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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
Published2010
Admission routes1
Has abstractyes

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