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Record W4387540306 · doi:10.1021/acsphotonics.3c00896

Kerr–Optomechanical Spectroscopy of Multimode Diamond Resonators

2023· article· en· W4387540306 on OpenAlexafffund
Parisa Behjat, Peyman Parsa, Natália C. Carvalho, Prasoon K. Shandilya, Paul E. Barclay

Bibliographic record

VenueACS Photonics · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta InnovatesCanada Foundation for Innovation
KeywordsOptomechanicsResonatorMulti-mode optical fiberPhysicsDiamondCoupling (piping)BroadbandOptoelectronicsPhononOpticsMaterials scienceOptical fiberCondensed matter physics

Abstract

fetched live from OpenAlex

Diamond microdisk cavities play a key role in optomechanical and spin-optomechanical technologies. Previous optomechanical studies of these devices have focused exclusively on their fundamental radial breathing mode. Accessing other mechanical modes of these structures is desirable for identifying routes toward improving their optomechanical properties, implementing multimode optomechanical systems, and broadening the accessible range of resonant spin–phonon coupling processes. Here, we perform broadband optomechanical spectroscopy on diamond microdisks and observe high quality factor mechanical modes with frequencies up to 10 GHz. Through Fano interference of their optomechanical response with diamond’s Kerr nonlinear optical response, we estimate that the optomechanical coupling of these high-frequency modes can exceed 10 kHz, making them attractive for high-frequency multimode optomechanics. In combination with their per-phonon stress of a few kPa, these properties make them excellent candidates for spin-optomechanical coupling.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score0.779

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)0.0010.000

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 head0.013
GPT teacher head0.279
Teacher spread0.265 · 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 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

Citations1
Published2023
Admission routes2
Has abstractyes

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