Application of the entropically damped artificial compressibility methodto ventricular assist devices
Bibliographic record
Abstract
Ventricular assist devices (VADs) represent one of the many applications (hemodynamics, vehicle aerodynamics, hydrofoils, wind turbines, and energy-saving bio-locomotion) that require accurate, efficient, and stable solutions for incompressible flows around complex moving and deforming geometries.The article addresses the challenges in solving such flows.The flux reconstruction (FR) method is presented as a suitable solution technique and its application to incompressible flows using the entropically damped artificial compressibility (EDAC) method is introduced as a promising pressure-dampening alternative to traditional methods.The article describes the implementation of the EDAC solver with the Arbitrary Lagrangian-Eulerian (ALE) form of the compressible Navier-Stokes equations in the High-Order Unstructured Solver (HORUS).Verification and validation of the solver have previously been performed, and results demonstrated of the method's suitability for VADs and its use in determining the optimal placement, shape, and actuation of VAD membranes in the heart's ventricle.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".