MétaCan
Menu
Back to cohort
Record W2317946574 · doi:10.2514/6.2009-954

Unstructured High-Order Accurate Finite-Volume Solutions of the Navier-Stokes Equations

2009· article· en· W2317946574 on OpenAlex
Chris Michalak, Carl Ollivier‐Gooch

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

Venue47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition · 2009
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFinite volume methodNavier–Stokes equationsVolume (thermodynamics)Computer scienceOrder (exchange)Applied mathematicsMechanicsMathematicsPhysicsCompressibilityThermodynamics

Abstract

fetched live from OpenAlex

A nite-volume scheme utilizing a fourth-order reconstruction for convective and di usive uxes of the Navier-Stokes equations is presented. The reconstruction is obtained e ciently by precomputing the pseudo-inverse of the reconstruction matrix. Viscous boundary conditions are handled by introducing additional rows in the reconstruction matrices. Rapid convergence of steady-state problems is made possible by computing the exact ux Jacobian and the use of a Newton-GMRES algorithm. A grid convergence study of cylindrical Couette ow is used to demonstrate the order of accuracy of the scheme. Laminar ow over an airfoil on a sequence of anisotropic grids is also used to qualitatively demonstrate the superior accuracy of the fourth-order scheme.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.240
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.233
Teacher spread0.220 · 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