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Record W1981547911 · doi:10.1116/1.4865478

AlGaN cladding-free 482 nm continuous wave nitride laser diodes grown by plasma-assisted molecular beam epitaxy

2014· article· en· W1981547911 on OpenAlexaff
C. Skierbiszewski, Henryk Turski, G. Muzioł, P. Wolny, G. Cywiński, Szymon Grzanka, Julita Smalc‐Koziorowska, Marta Sawicka, P. Perlin, Z. R. Wasilewski, S. Porowski

Bibliographic record

VenueJournal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsUniversity of Waterloo
FundersEuropean Social FundNarodowe Centrum Badań i RozwojuEuropean Commission
KeywordsMolecular beam epitaxyMaterials scienceContinuous waveOptoelectronicsCladding (metalworking)NitrideDiodeLaserWurtzite crystal structureQuantum wellPlasmaEpitaxyOpticsNanotechnologyZincLayer (electronics)Composite material

Abstract

fetched live from OpenAlex

The authors demonstrate continuous wave (CW) operating at 482 nm AlGaN-cladding-free laser diodes (LDs) grown by plasma assisted molecular beam epitaxy (PAMBE). The maximum CW output power was 220 mW. The PAMBE LD structures were grown on (0001) GaN substrates obtained by hydride vapor phase epitaxy, with threading dislocation density of 5 × 107 cm−2. The PAMBE process was carried out in metal-rich conditions supplying high nitrogen flux (ΦN) of 2 μm/h during quantum wells (QWs) growth. The authors found that high ΦN improves quality of high In content InGaN QWs. The role of nitrogen in growth of InGaN on wurtzite (0001) GaN surface as well as influence of LD design on threshold current density is discussed.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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Same venueJournal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and PhenomenaSame topicGaN-based semiconductor devices and materialsFrench-language works237,207