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Record W3035800980 · doi:10.1139/cjp-2020-0014

Strong phonon interaction between two distant magnetic films inserted into a cavity

2020· article· en· W3035800980 on OpenAlexvenueno aff
Feng Peng

Bibliographic record

VenueCanadian Journal of Physics · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsnot available
Fundersnot available
KeywordsPhononPhysicsCondensed matter physicsMagnonCoupling (piping)PhotonLaserEnergy (signal processing)Quantum mechanicsFerromagnetismMaterials science

Abstract

fetched live from OpenAlex

Phonon and magnon excitations can be modulated by magnetoelastic and magneto-optical coupling effects, respectively. The photons not only mediate the interaction between two distant magnetic films inserted into a cavity, but also affect the phonon excitations in each film by the magnetoelastic coupling. In this work, an indirect interaction mechanism is presented for the phonons in two distant magnetic films inserted into a cavity. Although the phonons in no way pass through a very long distance from one film to the other in a vacuum environment, they can establish a correlation between two films through the magneto-optical and magnetoelastic couplings in each film. This really corresponds to an indirect interaction. In this work, the relationship between the phonon interaction and the laser intensity is studied using a quantum theory. It is found that when the laser frequency is equal to magnon frequency and the laser intensity is in a certain range, this phonon interaction energy takes very large negative values so as to satisfy the application requirement. According to a generating functional integral approach, a formula for the phonon interaction energy is derived, and an experimental approach to detect this effect is suggested. This indirect interaction effect of phonons not only adds to our understanding of the essence of matter interaction, but also reveals some potential applications to the heat management of electronic devices, long-range transfer of heat energy, and ultrasonic signal transmission in a vacuum environment.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.723

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)0.0010.000

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 head0.022
GPT teacher head0.253
Teacher spread0.230 · 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 designOther design
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
Published2020
Admission routes1
Has abstractyes

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