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Record W2016148914 · doi:10.1021/cm902049p

Bismuth-Assisted CdSe and CdTe Nanowire Growth on Plastics

2009· article· en· W2016148914 on OpenAlexaff
Simon K. C. Lee, Yanghai Yu, Oscar Perez‐Landeros, Sean Puscas, T.H. Kosel, Masaru Kuno

Bibliographic record

VenueChemistry of Materials · 2009
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsUniversity of Waterloo
FundersDivision of Chemistry
KeywordsMaterials scienceNanowireCadmium telluride photovoltaicsTransmission electron microscopyBismuthChemical vapor depositionScanning electron microscopeChemical engineeringNanotechnologyChalcogenSemiconductorIndiumVapor–liquid–solid methodSiliconNanoparticleOptoelectronicsComposite materialMetallurgyChemistryCrystallography

Abstract

fetched live from OpenAlex

A modified chemical vapor deposition process was used to synthesize long (>10 μm), 20−60 nm diameter CdSe and CdTe nanowires (NWs) at low temperatures on plastic. The approach applies synthetic strategies developed during the growth of solution-based semiconductor NWs. Namely, a thin Bi film is employed to induce NW growth at temperatures as low as ∼300 °C on polyimide. This plastic is flexible, semitransparent, and possesses excellent chemical stability. Resulting wires have subsequently been characterized using various techniques, including scanning electron microscopy, transmission electron microscopy, and energy-dispersive X-ray spectroscopy. NW formation appears to follow a vapor−liquid−solid (VLS) mechanism with Bi nanoparticles inducing directional growth. The length, width, and overall density of the wires can be modified by varying the growth temperature, Bi film thickness, as well as the introduced precursor metal:chalcogen stoichiometry. Additional studies were conducted to grow wires on other substrates such as silicon, glass, indium−tin−oxide coated glass coverslips, and Teflon. This study highlights the ability to synthesize II−VI NWs at low temperatures on various materials including plastics and raises the possibility of eventually developing conformal NW solar cells.

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 categoriesInsufficient payload (model declined to judge)
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 score0.002
Threshold uncertainty score1.000

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)0.0010.000

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 head0.016
GPT teacher head0.218
Teacher spread0.202 · 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

Citations36
Published2009
Admission routes1
Has abstractyes

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