OP2A: A Multiphysics Fluid Simulation Framework
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.
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2022-0826.vid A new, modular, open-source framework is presented for the simulation of hypersonic aerothermodynamics. The Open-source multiPhysics framework for Plasma Applications (OP2A) allows for the construction of multiphysics simulations, including all the necessary components for a comprehensive simulation of a body in hypersonic flow. Components currently included allow for the evolution of the Euler or Navier-Stokes equations with finite volume discretisation on linear or axisymmetric block-structured grids. Solutions can be computed to either first or second order accuracy using various numerical methods, together with flux limiting routines to maintain total variation diminishing (TVD) properties and minimise potentially spurious results. OP2A is written in object oriented C++, so as to facilitate the implementation of new modules, allowing OP2A to be forward looking with respect to new methods. The framework currently utilises the MPI and OpenMP libraries for parallel computation, METIS for mesh decomposition, and PLATO (PLAsma in Thermodynamic nOn-equilibrium) for plasma and non-equilibrium chemistry calculations. Other than these specific dependencies, only standard C++ libraries are used in OP2A, meaning that it is highly portable between different hardware architectures. An overview of the OP2A framework, and of the numerical methods included in OP2A is provided. This is followed by details of the simulations – including validation cases – that have been run to date, as well as planned future studies.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it