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Record W3204867174 · doi:10.1364/ome.444087

Thulium-doped tellurium oxide microring lasers integrated on a low-loss silicon nitride platform

2021· article· en· W3204867174 on OpenAlex
Khadijeh Miarabbas Kiani, Henry C. Frankis, Richard Mateman, Arne Leinse, Andrew P. Knights, Jonathan D. B. Bradley

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOptical Materials Express · 2021
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcMaster University
FundersOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsMaterials scienceOptoelectronicsLasing thresholdThuliumPhotonic integrated circuitWaveguideLaserSilicon nitrideSiliconPhotonicsOpticsSilicon photonicsDopingWavelength

Abstract

fetched live from OpenAlex

We demonstrate compact, monolithically integrated thulium-doped tellurium oxide microring lasers on a low-loss silicon nitride platform. We observe lasing in the wavelength range of 1815–1895 nm under 1610 nm resonant pumping at varying waveguide-microring gap sizes and on-chip single-sided output powers up to 4.5 mW. The microlasers exhibit thresholds as low as 18 mW (11 mW) and a single-sided slope efficiency as high as 11% (17%) with respect to the pump power coupled into the TeO 2 :Tm 3+ -coated Si 3 N 4 bus waveguide (absorbed pump power). These results are a promising development for integrated tellurite glass devices and light sources for the emerging 2-µm band in silicon nitride photonic integrated circuits.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.001

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 head0.010
GPT teacher head0.214
Teacher spread0.204 · 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