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Dual-Gate Velocity-Modulated Transistor Based on Black Phosphorus

2016· article· en· W3101086264 on OpenAlexafffund
V. Tayari, N. Hemsworth, O. Cyr-Choinière, William Dickerson, G. Gervais, Thomas Szkopek

Bibliographic record

VenuePhysical Review Applied · 2016
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaCanadian Institute for Advanced ResearchHydro-QuébecU.S. Department of EnergyNational Science Foundation
KeywordsTransistorBlack phosphorusMaterials scienceElectron mobilitySchottky barrierOptoelectronicsSemiconductorField-effect transistorModulation (music)Charge densitySchottky diodeCondensed matter physicsPhysicsVoltageQuantum mechanics

Abstract

fetched live from OpenAlex

For the next generation of electronic devices, researchers seek to harness the potential of two-dimensional materials, the most famous being graphene. Unlike graphene, which is a semimetal, black phosphorus is a natural semiconductor with a band gap, requiring no chemical modification or strain. The authors demonstrate voltage control of both carrier mobility and Schottky-barrier resistance in this material at room temperature, the combined effect of which could yield a high-performance velocity-modulated transistor. These results on ``wave function engineering'' of charge-carrier distribution are a necessary starting point for advanced applications.

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 categoriesInsufficient payload (model declined to judge)
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 score0.086
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.006

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 head0.271
Teacher spread0.256 · 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

Citations18
Published2016
Admission routes2
Has abstractyes

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