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Record W3134224933 · doi:10.1117/12.2578883

Efficient multi-watt CW Yb:CaF2 laser

2021· article· en· W3134224933 on OpenAlexaff
R. Akbari, Arkady Major

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSolid State Laser Technologies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsWattLaserMaterials scienceDiodeOptoelectronicsSlope efficiencyContinuous wavePower (physics)WavelengthOptical pumpingOpticsYtterbiumSemiconductor laser theoryLaser pumpingDiode-pumped solid-state laserLaser power scalingTunable laserFiber laserPhysics

Abstract

fetched live from OpenAlex

Efficient diode-pumped continuous-wave Yb:CaF<sub>2</sub> laser was demonstrated with multi-watt output power at room temperature. The laser produced up to 9.6 W of output power in the fundamental mode with 64% of optical-to-optical efficiency and up to 71% slope efficiency with respect to the absorbed pump power. Wavelength tuning range was measured to be 60 nm (1011-1071 nm). To the best of our knowledge these are the highest efficiency factors for directly diode-pumped Yb:CaF<sub>2</sub> lasers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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