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Record W2085070037 · doi:10.1063/1.2424400

Structure and photoluminescence of ZnSe nanostructures fabricated by vapor phase growth

2007· article· en· W2085070037 on OpenAlexaff
Usha Philipose, Ping Sun, Tao Xu, Harry E. Ruda, Lan Yang, K. L. Kavanagh

Bibliographic record

VenueJournal of Applied Physics · 2007
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsSimon Fraser UniversityUniversity of Toronto
Fundersnot available
KeywordsPhotoluminescenceNanowireMaterials scienceNanostructureStackingMicrostructureOptoelectronicsNanotechnologyPhase (matter)Field electron emissionChemistryComposite material

Abstract

fetched live from OpenAlex

The synthesis of ZnSe nanowires is a rapidly expanding research field with numerous applications. Key to realizing the potential of such nanowires is an ability to prepare structurally uniform defect-free material. Microstructure studies on as-grown nanostructures reveal that the structure of these nanowires are highly sensitive to the growth temperature, with higher temperature growth (750°C) resulting mostly in nanoribbons having different morphologies. Planar defects (mainly stacking faults and twins) are found to extend throughout the nanoribbons. At lower growth temperatures (650°C) structurally uniform nanowires are typically found. Photoluminescence (PL) measurements on crystalline nanowires show that the spectrum comprises two characteristic peaks corresponding to strong near band edge emission, and a weaker emission associated with defect states. However, the PL spectra of ZnSe nanoribbons which contain a high density of structural defects are dominated by defect related emission.

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 score0.003
Threshold uncertainty score0.424

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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

Citations39
Published2007
Admission routes1
Has abstractyes

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