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Record W2137907581 · doi:10.1002/pssb.201451628

Extending group‐III nitrides to the infrared: Recent advances in InN

2015· article· en· W2137907581 on OpenAlexaff
Zetian Mi, Songrui Zhao

Bibliographic record

Venuephysica status solidi (b) · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsNanowireNitrideMaterials scienceConduction electronEpitaxyPlanarElectronInfraredCondensed matter physicsOptoelectronicsThermal conductionNanotechnologyOpticsLayer (electronics)PhysicsComposite material

Abstract

fetched live from OpenAlex

In this article, we provide an overview on the recent advances made in InN, including both planar and nanowire structures. With the improved epitaxial growth process, the background electron concentration can be reduced to low 10 17 and 10 13 cm −3 ranges in planar and nanowire structures, respectively, with the latter approaching the intrinsic limit of InN at room temperature. Extensive studies have shown that the measurement of p ‐type conduction in InN epilayers has been fundamentally limited by the presence of electron accumulation on the c ‐plane surfaces. In contrast, the nonpolar grown surfaces of InN are found to be completely free of electron accumulation. Moreover, through direct Mg dopant incorporation, the surfaces (nonpolar m ‐plane) of InN nanowires can be transformed from intrinsic to nearly p ‐type degenerate, which has led to the first direct measurement of p ‐type conduction in InN.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.292
Teacher spread0.265 · 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

Citations27
Published2015
Admission routes1
Has abstractyes

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