MétaCan
Menu
Back to cohort
Record W4399731221 · doi:10.1080/00219592.2024.2364780

The Effects of Zone Volume and Gravity on Thermo-Solutal Marangoni Convection Instability in a Half-Zone Model of Float-Zone Growth of SiGe

2024· article· en· W4399731221 on OpenAlexaff
Neranjan Nayanajith Weerakoon Rathnayake, Yasunori Okano, Hisashi Minakuchi, S. Dost

Bibliographic record

VenueJOURNAL OF CHEMICAL ENGINEERING OF JAPAN · 2024
Typearticle
Languageen
FieldMaterials Science
TopicSolidification and crystal growth phenomena
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMarangoni effectConvectionMarangoni numberInstabilityGeologyVolume (thermodynamics)MechanicsMaterials scienceThermodynamicsPhysics

Abstract

fetched live from OpenAlex

A series of three-dimensional numerical simulations have been carried out to examine the onset and characteristics of thermo-solutal Marangoni convection in the floating liquid bridge of SiGe (Pr=6.37×10−3 and Sc=14.0). To this end, a simple half-zone model is considered, and the free surface deformation is taken into account. Simulation results carried out under normal (1-g) and zero gravity show that the computed temperature field in the melt is almost independent of this convective flow, and the concentration field determines the characteristics of the transport structures developing in the melt. The critical conditions for three volume ratios under normal and zero gravity conditions are determined. The thresholds in the liquid bridge depend on the volume ratio, and gravity has a negligible effect on the flow transition in the present calculation regime. The critical azimuthal wave number can shift to higher values at the higher volume ratio or to lower values at the low volume ratio. The random-periodic pattern was observed only at the high-volume ratio for the thermal-solutal Marangoni convection.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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 designSimulation or modeling
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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJOURNAL OF CHEMICAL ENGINEERING OF JAPANSame topicSolidification and crystal growth phenomenaFrench-language works237,207