MétaCan
Menu
Back to cohort
Record W2810482420 · doi:10.1063/1.5024336

Electric control of cooperative polariton dynamics in a cavity-magnon system

2018· article· en· W2810482420 on OpenAlexafffund
Jinwei Rao, Bimu Yao, Xiaolong Fan, Ding‐Jiang Xue, Y. S. Gui, C.‐M. Hu

Bibliographic record

VenueApplied Physics Letters · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsUniversity of Manitoba
FundersChina Scholarship CouncilScience and Technology Commission of Shanghai MunicipalityCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsMagnonPolaritonPhysicsQ factorPhotonMicrowave cavityMicrowaveOptoelectronicsCondensed matter physicsOpticsQuantum mechanicsResonatorFerromagnetism

Abstract

fetched live from OpenAlex

The recent development of cooperative magnon-polariton dynamics in feedback coupled cavities holds great potential for non-classical information processing. With the goal of increasing the cooperativity and integrating this innovative technique with microwave circuits, in this paper, we have developed a tunable, planar, feedback-coupled cavity consisting of an active cavity and a varactor-loaded passive cavity. By tuning the voltage bias, the feedback cavity can operate in a wide frequency range with a quality factor better than 104. As a consequence, our feedback cavity allows both the magnetic control and electric control of the coherent magnon-photon dynamics, enabling the controllable evolution of a cavity-magnon triplet to a cavity-magnon quintuplet. This electric control of the coherent magnon-photon dynamics may enable the design of on-chip polariton devices which exploit electromagnetic wave-matter interactions.

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 categoriesnone
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 score0.833
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

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

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 head0.004
GPT teacher head0.204
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueApplied Physics LettersSame topicMechanical and Optical ResonatorsFrench-language works237,207