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Record W2946443069 · doi:10.1109/jstqe.2019.2915712

Welcome to the IEEE Journal of Selected Topics in Quantum Electronics Issue on Metamaterial Photonics and Integration

2019· article· en· W2946443069 on OpenAlexfundno aff

Bibliographic record

VenueIEEE Journal of Selected Topics in Quantum Electronics · 2019
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of OttawaRoyal SocietyRoyal Society of CanadaMinistry of DefenseSlovenská Akadémia Vied
KeywordsMetamaterialPhotonicsElectronicsQuantum opticsComputer scienceEngineering physicsOptoelectronicsTelecommunicationsElectrical engineeringPhysicsEngineeringOptics

Abstract

fetched live from OpenAlex

The objective of this special issue is to highlight the recent progress and trends in the development of nanostructured engineered optical materials, with an emphasis on integrated photonic structures. The novel properties found in these structures, along with ability to control these properties with unprecedented precision through advanced fabrication techniques, has opened new prospects for manipulating light at subwavelength scale. In the papers included in this Special Issue you will find some of the latest leading-edge developments in this exciting field of research and insights on how optical metamaterials can enhance the performance of integrated photonic devices. An emphasis is placed on metamaterials for opticalwaveguide technologies and on-chip architectures that can provide new degrees of freedom to control the flow of light in photonic integrated circuits. The papers cover a broad scope of metamaterial-based integrated photonic structures, ranging from subwavelength grating nanostructures in silicon photonic waveguide for applications in telecom, datacom and sensing, to various dielectric and plasmonic metasurfaces for the visible and infrared wavelength ranges, including resonant and electrically tunable structures. This issue contains 13 invited and 14 contributed papers from well-established research groups in academia and industry and prominent scientists in the field. The papers include extended overviews on developments in metamaterial-based integrated photonics and the most recent trends and topics.

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), Research integrity
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 score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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
Published2019
Admission routes1
Has abstractyes

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