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Record W4413968084 · doi:10.1021/acs.cgd.5c00629

Correlated Surface Morphology and Sc Content Tuning in ScGaN Epilayers by Molecular Beam Epitaxy for Photonic Devices

2025· article· en· W4413968084 on OpenAlexafffund
Milad Fathabadi, Mohammad Fazel Vafadar, Cătălin Harnagea, A. Pignolet, Songrui Zhao

Bibliographic record

VenueCrystal Growth & Design · 2025
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsInstitut National de la Recherche ScientifiqueMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsMolecular beam epitaxyMorphology (biology)Materials scienceOptoelectronicsEpitaxyPhotonicsNanotechnologyLayer (electronics)Biology

Abstract

fetched live from OpenAlex

Scandium (Sc)-III-nitrides, new members of the III-nitride family, are well-known for their ferroelectric properties. Their other unique material properties have further extended their applications beyond ferroelectric devices to light-emitting diodes (LEDs), optoelectronic devices, and photocatalysis. Tuning the morphology of Sc-III-nitrides is essential for these applications. This study provides insights into tuning the surface morphology as well as the Sc content of ScGaN epilayers grown by molecular beam epitaxy (MBE) under N-rich conditions. It is found that the surface features are dependent not only on the Ga/Sc ratio but also on the nitrogen flow rate. It is also found that the Sc content depends on both the Ga:Sc ratio and the incident Ga flux. Detailed characterization using atomic force and electron microscopies further unveils the possible underlying mechanism of the observed porous surface.

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 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 score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.015
GPT teacher head0.218
Teacher spread0.202 · 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 teacher head, not a consensus.

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
Published2025
Admission routes2
Has abstractyes

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