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Record W2319799932 · doi:10.1166/jnn.2007.686

Synthesis and Field Emission Characterization of Titanium Nitride Nanowires

2007· article· en· W2319799932 on OpenAlexaff
Yemin Hu, Kaifu Huo, Yanwen Ma, Yinong Lü, Junqing Xu, Zheng Hu, Yi Chen

Bibliographic record

VenueJournal of Nanoscience and Nanotechnology · 2007
Typearticle
Languageen
FieldEngineering
TopicMetal and Thin Film Mechanics
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsMaterials scienceNanowireTinTitanium nitrideField electron emissionTitaniumChemical engineeringNitrideNanotechnologyThermal stabilityMetallurgyElectronLayer (electronics)

Abstract

fetched live from OpenAlex

Single crystalline titanium nitride nanowires have been successfully synthesized through a chloride-assisted carbon thermal reduction method using the active carbon, TiO2 and NaCl powders as precursors and cobalt nanoparticles as catalyst. The products were characterized by X-ray diffraction, electron microscopy, and energy-dispersive X-ray spectroscopy. The TiN nanowires possess a cubic structure with typical diameter of 20-60 nm and length up to microns. The field emission property of the TiN nanowires has been characterized for the first time, which follows the conventional Fowler-Nordheim behavior and shows the low turn-on field of 7.1 V microm-1 and good emission stability, indicating the potential applications. The formation mechanism of the TiN nanowires has also been 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.036
Threshold uncertainty score0.199

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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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.

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

Citations13
Published2007
Admission routes1
Has abstractyes

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