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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 γ 1 , 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 γ 1 , 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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