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Record W7062039614

Study of conductance through wires grown dielectrophoretically from colloidal gold suspensions

2006· dissertation· en· W7062039614 on OpenAlexfundno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2006
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsColloidal goldConductanceNanoparticleTransmission electron microscopyElectrodeMetalColloidSuspension (topology)Microscope
DOInot available

Abstract

fetched live from OpenAlex

Gold nanoparticles have been synthesized by the reduction of tetrachloroauric acid in the presence of stabilized capping agents (citrate, polyvinylpyrrolidone, octadecanethiol) and dispersed in either a polar (water) or a non-polar solvent (dodecane).The size distribution of the nanoparticles was determined to be between 10-15 nm from transmission electron microscope images and through a comparison between Mie extinction theory and the measured extinction.Subsequently the particles were aligned into a wire between two gold electrodes through the action of a non-uniform electric field (dielectrophoresis).Conductance measurements through the dielectrophoretic wires showed non-linear conductance steps at integer multiples of Goan indication of a lowdimensional metallic conductor.Wires grown from PVP and ODT capped gold nanoparticles showed conductancs steps at I, 2 G¡ ll.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.014
GPT teacher head0.232
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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
Published2006
Admission routes1
Has abstractyes

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