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Record W2036720902 · doi:10.1063/1.1396313

Microstructure and field-emission characteristics of boron-doped Si nanoparticle chains

2001· article· en· W2036720902 on OpenAlexaff
Yun Tang, Xuhui Sun, Frederick Au, L. S. Liao, Hongying Peng, Chun‐Sing Lee, S. T. Lee, Tsun‐Kong Sham

Bibliographic record

VenueApplied Physics Letters · 2001
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsWestern University
Fundersnot available
KeywordsTransmission electron microscopyMaterials scienceNanoparticleField electron emissionAmorphous solidX-ray photoelectron spectroscopyBoronMicrostructureHigh-resolution transmission electron microscopyDopingAnalytical Chemistry (journal)NanotechnologyBoron oxideDark field microscopyChemical engineeringCrystallographyMicroscopyOxideElectronOptoelectronicsOpticsChemistryComposite materialMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

One-dimensional boron-doped Si nanoparticle chains synthesized in bulk quantity using laser ablating SiO powder mixed with B2O3 powder have been investigated by transmission electron microscopy and measured by electron field emission. Transmission electron microscopy showed that the outer diameters of the nanoparticles in the chains were around 15 nm. High-resolution transmission electron microscopy showed that the nanoparticles had perfect lattices with an 11 nm crystalline core and a 2 nm amorphous oxide outerlayer while the distance of the interparticles was 4 nm. Field-emission measurement showed that the turn-on field of Si nanoparticle chains was 6 V/μm, which was much lower than that of undoped Si nanowires (9 V/μm). X-ray photoelectron spectroscopy confirmed that the Si nanoparticles had been heavily doped by boron.

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 score0.005
Threshold uncertainty score0.574

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 head0.213
Teacher spread0.206 · 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

Citations43
Published2001
Admission routes1
Has abstractyes

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