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A one-step approach for the fabrication of polymer and metal nanowires

2011· article· en· W2014749679 on OpenAlexafffund
Hongyan Gu, Shiping Zhu

Bibliographic record

VenueNanotechnology · 2011
Typearticle
Languageen
FieldEngineering
TopicNanowire Synthesis and Applications
Canadian institutionsMcMaster University
FundersOntario Centres of Excellence
KeywordsMaterials scienceNanowireFabricationNanometreEnhanced Data Rates for GSM EvolutionNanotechnologyPolymerDiamondAluminiumYield (engineering)MachiningMetalPlanarPhotoresistComposite materialMetallurgy

Abstract

fetched live from OpenAlex

The fabrication of one-dimensional (1D) polymer and metal nanowires were obtained in a one-step mechanical approach. This approach is based on a controlled chattering process at the cutting edge of an oscillating diamond knife to conduct wavy cutting. Consecutive shallow wavy cuttings at different phases yield uniform ultra-long nanowire products with controlled lateral dimensions in the range of sub-100 nanometers to micrometers. The morphologies and lateral dimensions of the nanowires can be tuned through phase alignment, cutting depth and cutting speed, as demonstrated in this paper through examples of its application to polymethyl methacrylate, aluminum and copper. This facile one-step 'cutting-edge' method is robust, clean, involves no chemicals, and can be readily scaled up with precision machining for long-range and large-area fabrications.

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: none
Teacher disagreement score0.751
Threshold uncertainty score0.207

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 head0.027
GPT teacher head0.212
Teacher spread0.186 · 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

Citations0
Published2011
Admission routes2
Has abstractyes

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