Instability of Accelerated Boundary Layers Induced by Surface Suction
Bibliographic record
Abstract
Accelerated boundary layers are considered to be stable for practical purposes. It is shown that small suction nonuniformitiescaninduceaninstabilitythatresultsinthegenerationofstreamwisevortices.Additionofauniform suctionisnoteffectiveincontrollingthisinstability.Itisshownthatnonuniformitiesofsurfaceblowingmightinduce a similar instability and that the characteristics of this instability are also little affected by the magnitude of the blowing. The same nonuniformities appear to have a small effect on the traveling (Tollmien‐Schlichting ) wave instability in the range of parameters studied. It is shown that oblique waves become dominant if the amplitudes of the nonuniformities become large enough. Nomenclature Ank = coefe cient matrix [Eq. (10)] cn = arbitrary constants [Eq. (7)] D Dd=dy = derivative operator F = similarity function in the Falkner‐Skan equation N Gm D[g.m/ u ;g .m/ w ;g .m/
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".