Labyrinthine metamaterials and sorptive porous media applied to vented-box loudspeakers' design
Bibliographic record
Abstract
Acoustic metamaterials have shown great potential for a number of acoustic applications due to their extraordinary, tunable acoustic properties such as deep sub-wavelength sound absorption, bandgaps, and focusing to name a few.Likewise, multiscale sorptive porous media have been shown to exhibit remarkable acoustic properties, including unusually high low frequency sound absorption and enabling the enhancement of the compliance of resonator's cavities or loudspeaker's boxes.This work applies labyrinthine metamaterials and multiscale sorptive porous materials to the design of vented-box loudspeakers.An electro-mechano-acoustical model of a ventedbox loudspeaker is introduced.This model takes into account the effects of the said meta-and porous material on the vented-box loudspeaker's sensitivity and electrical impedance.It is shown that by combining both types of materials, the form factor of vented-box loudspeakers can be significantly reduced, without compromising their low frequency performance.Thus, this work contributes towards the sought-after 'holy grail' of loudspeaker's design; that is to achieve 'big bass from small boxes'.
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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 | 0.000 | 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) | 0.001 | 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 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".