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Record W4283771432 · doi:10.1002/andp.202200308

Klein Tunneling through Triple Barrier in AB Bilayer Graphene

2022· preprint· en· W4283771432 on OpenAlexaff
Mouhamadou Hassane Saley, Abderrahim El Mouhafid, Ahmed Jellal, Ahmed Siari

Bibliographic record

VenueAnnalen der Physik · 2022
Typepreprint
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsVernon Seed Orchard Company (Canada)Vernon Jubilee Hospital
Fundersnot available
KeywordsQuantum tunnellingConductanceCondensed matter physicsRectangular potential barrierTransmission coefficientResonance (particle physics)Band gapBilayerTransmission (telecommunications)GrapheneMolecular physicsBilayer grapheneTransfer matrixReflection (computer programming)Materials sciencePhysicsChemistryAtomic physicsNanotechnologyMembraneTelecommunications

Abstract

fetched live from OpenAlex

Abstract The transport properties of charge carriers in AB bilayer graphene through a triple electrostatic barrier are investigated. The transmission and reflection using the boundary conditions together with the transfer matrix method are calculated. For energy less than the interlayer coupling γ1, it is shown that, at normal incidence, transmission is completely suppressed in the gap for a large barrier width while it appears in the gap for the opposite case. For energy greater than γ1, it is shown that in the absence of an interlayer potential difference, transmission is less than that of a single barrier, but in its presence, transmission in the gap region is suppressed, as opposed to a double barrier. It is found that one, two, or three gaps can be created depending on the number of interlayer potential differences applied. Resonance in the transmission channel is observed that is not seen in the single and double barrier cases. Finally, the conductance is computed and it is shown that the number of peaks is greater than the double and single barrier cases. The results here enable the development of graphene‐based transistors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.334
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2022
Admission routes1
Has abstractyes

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