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Record W1979563063 · doi:10.1049/mnl.2009.0052

Low-frequency noise and hysteresis in graphene field-effect transistors on oxide

2010· article· en· W1979563063 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMicro & Nano Letters · 2010
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsGrapheneHysteresisMaterials scienceBilayer grapheneOxideFlicker noiseCondensed matter physicsNoise (video)TransistorField-effect transistorSiliconOptoelectronicsNanotechnologyVoltagePhysics

Abstract

fetched live from OpenAlex

The authors report measurements of low-frequency noise and hysteresis in graphene monolayer and bilayer field-effect transistors (FETs) fabricated on 90 and 290 nm oxidised silicon substrates. The authors observe hysteresis induced by stressing the oxide up to fields of 2 MV/cm and have characterised the hysteresis against stress time and sample temperature. Low-frequency current noise with a 1/f2 spectral density arises from the drift of neutrality point voltage, and subsequent drift of graphene FET channel current. A simple model of charge trapping at the graphene–oxide interface and thermally activated ion motion accounts for the temperature dependence of the observed hysteresis.

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.

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 score0.018
Threshold uncertainty score0.531

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 head0.005
GPT teacher head0.230
Teacher spread0.224 · 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