On The Democratization of the Fluid Flow Simulation
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
In this paper, we aim to introduce the web-based application called dynairix. Dynairix is a free online tool developed by our team to make the invisible part of pandemics and epidemics visible to the general public. Having a strong background in the field of Computational Fluid Dynamics (CFD), our team has been using it so far primarily in the development of simulation solutions for the automotive production. Now we want apply this know-how in new areas too. The core of dynairix is based on quasi steady CFD results using lattice Boltzmann method (LBM) coupled (one-way) with the Lagrangian particles tracking method. Using this methodology, our tool calculates the dynamic risk factor and shows the ventilation system and its effects in closed environments. This is something especially useful during any epidemics where viruses are transmitted by aerosols. The calculations are based on the real physics of the simulations of various scenarios. They show that good a ventilation system during pandemics and epidemics can not only be useful but rather extremely beneficial.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| 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