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Record W1983962636 · doi:10.1209/0295-5075/81/66005

A bottom-up approach to non-ideal fluids in the lattice Boltzmann method

2008· article· en· W1983962636 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEurophysics Letters (EPL) · 2008
Typearticle
Languageen
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsLattice Boltzmann methodsStatistical physicsPseudopotentialvan der Waals forcePhysicsHard spheresRepresentation (politics)Classical mechanicsComplex fluidThermodynamicsQuantum mechanicsMolecule

Abstract

fetched live from OpenAlex

The Shan-Chen (SC) pseudopotential lattice Boltzmann model for multiphase fluids has been revised to incorporate the particle exclusion-volume effect. Previous attempts to simulate a non-ideal fluid with the SC model tailored the interparticle potential to obtain the desired equation of state. Such an approach lumped the contributions from the particle exclusion-volume effect and the interparticle interactions together, and undermined the excellent physical basis of the SC model. In this letter, the equilibrium distributions are modified to include the particle exclusion-volume effect, and the clear physical meaning of interparticle potential in the original SC model has been reserved. Without losing the simple mathematical formulation and unique physical representation, the revised model can easily model non-ideal fluids with various equations of state. A van der Waals fluid has also been simulated as an example to demonstrate the significance of this improvement.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.233
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
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.253
Teacher spread0.227 · 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