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Record W2109236479 · doi:10.1109/tnano.2003.817527

Bipolar conduction and drain-induced barrier thinning in carbon nanotube FETs

2003· article· en· W2109236479 on OpenAlex
Jason Clifford, D.L. John, D.L. Pulfrey

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

VenueIEEE Transactions on Nanotechnology · 2003
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCarbon nanotubeSchottky barrierMaterials scienceNanotubeThermal conductionField-effect transistorCarbon nanotube field-effect transistorElectronRectangular potential barrierCondensed matter physicsTransistorFermi levelOptoelectronicsSchottky diodeVoltageNanotechnologyElectrical engineeringPhysicsComposite materialDiode

Abstract

fetched live from OpenAlex

The drain current-voltage (I-V) characteristics of Schottky-barrier carbon nanotube field-effect transistors (FETs) are computed via a self-consistent solution to the two-dimensional potential profile, the electron and hole charges in the nanotube, and the electron and hole currents. These out-of-equilibrium results are obtained by allowing splitting of both the electron and hole quasi-Fermi levels to occur at the source and drain contacts to the tube, respectively. The interesting phenomena of bipolar conduction in a FET, and of drain-induced barrier thinning (DIBT) are observed. These phenomena are shown to add a breakdown-like feature to the drain I-V characteristic. It is also shown that a more traditional, saturating-type characteristic can be obtained by workfunction engineering of the source and drain contacts.

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 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 score0.009
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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