Anderson localization of acoustic waves in three dimensional resonant microbead suspensions
Bibliographic record
Abstract
Anderson localization is one of the most fascinating wave phenomena that may occur in strongly scattering heterogeneous media. Since the 1980s, the experimental search for this halt of diffusive transport in 3-D disordered systems has continued to be the focus of intense research, whether for quantum particles or classical waves. In the latter case, the experimental demonstration remains challenging for light waves, contrary to ultrasonic elastic waves, for which it has already been proven without ambiguity. In this talk, I will describe a new set of two independent time- and position-resolved experiments, using techniques that were first developed to clearly establish the existence of localized regimes in mesoglasses made of sintered beads. Here, I will focus on scalar acoustic waves and report unambiguous evidence of the transitions between diffusion and localization in suspensions made of soft metallic resonant beads, inspired by recent advances in the field of soft acoustic metamaterials. These experiments allow us to determine the mobility edges of the localization regimes with high precision. Finally, as it is easy to vary the concentration in our model system, we will show that there is an optimal intermediate concentration beyond which localization disappears.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".