Aerodynamics Simulation for Two Types of Airplane Wings
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
To increase the efficiency of aircraft development, a simulation has been planned-out to test wing-shape in a virtual environment. The simulation tests the efficiency of swept wings, which are angled towards the tail of an airplane, or the efficiency of forward swept wings, angled towards the nose of the airplane. The simulation involves parameters to mimic real-world effects on virtual aircraft designs. Such simulations have been used by Boeing to replace the wind tunnel, saving time, money, and lives. In the future, such simulations may eliminate the hindrances of testing what wing types belong on what aircraft. Pour augmenter l'efficacité du développement de l'aéronef, une simulation a été conçue pour tester les configurations d'aile dans un environnement virtuel. La simulation teste l'efficacité des ailes en flèche, qui sont inclinées vers la queue d'un avion, ou de l'efficacité des ailes en flèche vers l'avant, inclinée vers le nez de l'avion. La simulation imite les effets du monde réel sur un avion virtuel en utilisant plusieurs paramètres. Ces simulations ont été utilisées par Boeing pour remplacer la soufflerie, économisant du temps, de l'argent, et des vies. Dans l'avenir, ces simulations peuvent éliminer les obstacles de tester quels types d'ailes appartiennent à quel avion.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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