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Record W4320915052 · doi:10.1103/physrevb.107.054413

Theory of Floquet-driven dissipative cavity magnonics

2023· article· en· W4320915052 on OpenAlexafffund
Ying Yang, Yang Xiao, C.‐M. Hu

Bibliographic record

VenuePhysical review. B./Physical review. B · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsFloquet theoryDissipative systemPhysicsCoupling (piping)SidebandAmplitudeQuantum mechanicsQuantum electrodynamicsNonlinear systemMicrowaveMaterials science

Abstract

fetched live from OpenAlex

Coherent magnon-photon coupling under the Floquet drive has been demonstrated in recent experimental measurements and theoretical calculations. In this work, we studied the Floquet-driven dissipative cavity magnonics theoretically. Our results show that the Floquet states ${d}^{(n)}$ ($n$ is integer) with dissipative coupling give rise to many level attractions in the transmission spectrum. As driving amplitude increases or driving frequency decreases, the coupling for the $n=0$ mode becomes weak while for the sideband $(n=\ifmmode\pm\else\textpm\fi{}1)$ becomes strong due to renormalized coupling strength. When the coherent and the dissipative couplings are simultaneously present, a series of sharp dips originating from the interference of two couplings occur, in contrast to a single dip with zero damping in previous work. The modified zero-damping condition is derived for the Floquet system. Moreover, we give a generalized selection rule for coupling between Floquet states by considering the multiphoton process that has not yet been studied in previous work. Our results open up promising roads for exploring the dissipative magnon-photon coupling with the Floquet driving technology.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.023
GPT teacher head0.376
Teacher spread0.353 · 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 designTheoretical or conceptual
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

Citations16
Published2023
Admission routes2
Has abstractyes

Explore more

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