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Record W4324394477 · doi:10.1117/12.2657164

Steaming ahead with laser cooling: new perspectives in materials engineering for photonics in all-oxide silica glass

2023· article· en· W4324394477 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSolid State Laser Technologies
Canadian institutionsPolytechnique MontréalInstitut National d'Optique
Fundersnot available
KeywordsPhotonicsLaserOxideMaterials scienceLaser coolingOptoelectronicsRaman spectroscopyEngineering physicsRare earthOpticsEngineeringPhysicsMetallurgy

Abstract

fetched live from OpenAlex

We recently demonstrated laser induced cooling in all oxide silica glass [1], a proof of principle of our materials engineering approach. This technique has the potential of significantly impacting silica photonics by not only improving laser cooling with the preferred rare earth ion, Yb3+, but for the first time, also with different rare earths. The higher rare earth concentration possible in silica without affecting its optical properties, indicates that new amplifiers and laser may be possible. This talk will review our engineering perspective to mitigating serious materials shortcoming in silica and elaborate what may be possible for new applications in photonics. 1. J. Thomas, T. Meyneng, N. Gregoroire, F. Monet, A. Tehranchi, D. Seletskiy, Y. Messaddeq, Raman Kashyap, “Laser Cooling of a Novel GAYY Glass at Atmospheric Pressure”, Advanced Photonics Congress, Maastricht, Holland, Post Deadline paper JTH4A.5, Optica (28 July 2022).

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.901

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)0.0000.000

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 head0.028
GPT teacher head0.256
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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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