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Record W2886226933 · doi:10.1209/0295-5075/122/67004

Tunable Anderson localization of propagating graphene surface plasmon modes in a random modulated graphene monolayer

2018· article· en· W2886226933 on OpenAlexaff
Milad Sani, Mahmood Hosseini Farzad, Ali Hatef, Fatemeh Safarzadeh

Bibliographic record

VenueEurophysics Letters (EPL) · 2018
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsNipissing University
Fundersnot available
KeywordsGrapheneMaterials scienceMonolayerAnderson localizationPlasmonCondensed matter physicsSurface plasmonSurface plasmon polaritonOptoelectronicsNanotechnologyPhysics

Abstract

fetched live from OpenAlex

Graphene is a two-dimensional material that has attracted a lot of attention due to the excitation of surface plasmons in the mid-infrared region. In this letter, we present the emergence of Anderson localization of propagating surface plasmon in a monolayer of graphene imbedded on a silicon random grating nanostructure. Several new localized graphene surface plasmon (GSP) modes with higher intensity and quality factor occur with respect to corresponding modes in the periodic substrate structure. Although tuning the resonance wavelengths belonging to Anderson localized GSPs is a difficult task due to its random nature, here we tune these wavelengths by adjusting the Fermi energy of the monolayer graphene.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
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
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.213
Teacher spread0.201 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

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