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Record W2045717906 · doi:10.1002/pssc.201001040

InGaN/GaN short‐period superlattices: synthesis, properties, applications

2011· article· en· W2045717906 on OpenAlexaff
A. F. Tsatsul’nikov, W. V. Lundin, A. V. Sakharov, E. E. Zavarin, S. O. Usov, A. E. Nikolaev, N. V. Kryzhanovskaya, V. S. Sizov, M. A. Synitsin, E.V. Yakovlev, A. E. Chernyakov, А. Л. Закгейм, N. Cherkashin, Martin Hÿtch

Bibliographic record

VenuePhysica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsImpact
Fundersnot available
KeywordsMaterials scienceSuperlatticeOptoelectronicsHigh-resolution transmission electron microscopyLight-emitting diodeQuantum efficiencyTransmission electron microscopyPeriod (music)NanotechnologyPhysics

Abstract

fetched live from OpenAlex

Abstract InGaN/GaN short‐period superlattices were fabricated using method based on cycle conversion of surface InGaN layer to GaN by applying of growth interruptions in hydrogen atmosphere. SPSLs having total thickness from 12 nm to 120 nm were grown and investigated by combination of optical methods, XRD and high resolution transmission electron microscopy (HRTEM) with geometric phase analysis. Blue, deep green (540‐560 nm) and monolithic white LEDs (containing in active region green and blue InGaN QWs separated by the SPSL or GaN barrier) were grown and investigated. Deep green LEDs have maximal external quantum efficiency of 8‐16% in the range of 560‐540 nm correspondingly. Monolithic white LED structures with CCT in the range of 5000‐6000 K have maximal external quantum efficiency of more than 6%. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.105
GPT teacher head0.342
Teacher spread0.238 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2011
Admission routes1
Has abstractyes

Explore more

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