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Record W2030421652 · doi:10.1063/1.1810206

The effects of buoyancy convection on the measured solute diffusion coefficients in dilute metallic liquids

2004· article· en· W2030421652 on OpenAlexaff
Weidong Huang, Bin Yang, Ronald Smith

Bibliographic record

VenueJournal of Applied Physics · 2004
Typearticle
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsQueen's University
Fundersnot available
KeywordsBuoyancyConvectionDiffusionChemistryThermodynamicsConcentration gradientCapillary actionMolecular diffusionMaterials scienceMechanicsChromatographyPhysics

Abstract

fetched live from OpenAlex

In order to determine the effect of gravity on the results from earlier liquid diffusion experiments in low earth orbit, comparative experiments involving gold, silver, and antimony diffusing in liquid lead have been carried out using the Queen’s University Experiments in liquid diffusion ground-based unit under terrestrial conditions. It was found that buoyancy-driven convection still persists in the liquid even when conditions are arranged for a continuously decreasing density gradient up the long axis of a melted long capillary diffusion couple. It is suggested that radial temperature gradients in the diffusion samples cause such buoyancy-driven convection, and so enhance the solute transport and increase the measured diffusion coefficient (D) values; however, it is noted that if the density of the solute is considerably less than that of the solvent, then the convective flow and the corresponding solute transport are much reduced.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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

Citations3
Published2004
Admission routes1
Has abstractyes

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