APECSS: A software library for cavitation bubbledynamics and acoustic emissions
Bibliographic record
Abstract
The dynamics of cavitation bubbles and the acoustic emissions they produce are important in a broad range of engineering applications and natural phenomena, either because the strong energy focusing of the bubble collapse is to be avoided, as it may cause damage to surfaces, or to be exploited, such as in emerging medical applications. APECSS (Acoustic Pulse Emitted by Cavitation in Spherical Symmetry) is a software library to simulate the dynamic behavior and acoustic emissions of cavitation bubbles using an efficient state-of-the-art numerical framework. APECSS supports different Rayleigh-Plesset models for bubble dynamics in incompressible and compressible media with Newtonian or viscoelastic rheology, considering clean or coated bubbles. Acoustic emissions may be modeled under different modeling assumptions using a tailored Lagrangian wave tracking method, including the formation and attenuation of shock waves. APECSS can be extended easily to include custom functionality and may be incorporated into other software frameworks.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.053 | 0.023 |
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".