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Record W2016518858 · doi:10.1117/12.2040847

p-Type InN nanowires: towards ultrahigh speed nanoelectronics and nanophotonics

2014· article· en· W2016518858 on OpenAlexaff
Songrui Zhao, Zetian Mi, Binh Huy Le

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsNanowireMaterials scienceNanoelectronicsPhotoluminescenceNanophotonicsX-ray photoelectron spectroscopyDopingOptoelectronicsWide-bandgap semiconductorAcceptorSpectroscopyElectron mobilityNanotechnologyCondensed matter physicsPhysicsNuclear magnetic resonance

Abstract

fetched live from OpenAlex

In this paper, we demonstrate that p-type InN nanowires can be realized by direct magnesium (Mg) doping. X-ray photoelectron spectroscopy experiments on the sidewalls of Mg-doped InN nanowires indicate no surface electron accumulation with the background electron concentration below 1×10<sup>16</sup> cm<sup>-3</sup>. The presence of Mg-acceptors is clearly observed by the low-temperature photoluminescence (PL) spectroscopy, which shows a band-to-band recombination PL peak and a Mg-acceptor energy level related PL peak. The peak energy separation is about 60 meV, which is consistent with the Mg activation energy in InN. Single nanowire field-effect transistors are further fabricated and investigated, which clearly exhibits a p-type transistor behavior, representing the first direct evidence for p-type conduction in any InN structures. The potential device applications based on InN nanowires are also 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 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)0.001
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 score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicGaN-based semiconductor devices and materialsFrench-language works237,207