Quantitative acoustic microscopy of plastics using low speed coupling fluids
Bibliographic record
Abstract
Conventional acoustic microscopes can not generate a V(z) curve with Rayleigh wave interaction on materials with a low speed of sound such as plastics. To perform this type of acoustic microscopy on such materials, one needs to use a coupling fluid with a very low speed of sound. This poses practical difficulties: high attenuation in the coupling fluid, lens design complexities, high precision needed in the Z translation stage, temperature stability of the quickly evaporating coupling fluid, and absorption of coupling fluid into the test specimen. A new coupling fluid with suitable speed of sound and attenuation factor is introduced. A 250 MHz lens and measurement system design, addressing the problems listed above, are discussed. An example of a V(z) curve collected on epoxy is introduced, and it is shown that both Rayleigh and lateral compressional waves are responsible for V(z) characteristics. This is the first time that such measurements on plastics with Rayleigh wave dominance have been reported.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".