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Record W4385835518 · doi:10.1103/physrevb.108.l060202

Ultrasonic wave transport in concentrated disordered resonant emulsions

2023· article· en· W4385835518 on OpenAlex
Benoit Tallon, Thomas Brunet, J. H. Page

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhysical review. B./Physical review. B · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRandom lasers and scattering media
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaAgence Nationale de la Recherche
KeywordsScatteringPhysicsCoupling (piping)Condensed matter physicsUltrasonic sensorVolume fractionField (mathematics)RenormalizationMaterials scienceOpticsThermodynamicsQuantum mechanicsAcousticsComposite material

Abstract

fetched live from OpenAlex

We show how resonant (near-field) coupling affects wave transport in disordered media through ultrasonic experiments in concentrated suspensions. The samples consist of resonant emulsions in which oil droplets are suspended in a liquid gel. By varying the volume fraction of droplets $\ensuremath{\phi}$ up to 40%, the limits of the independent scattering approximation are experimentally demonstrated as soon as $\ensuremath{\phi}>10%$. For these concentrated samples, the proximity of resonant scatterers induces a renormalization of the surrounding medium, leading to a reduction in scattering strength. Hence, maximum scattering is reached at an intermediate droplet concentration $(20%<\ensuremath{\phi}<30%)$ where subdiffusive wave transport is observed. These results are very relevant for designing materials for the study of wave transport phenomena such as Anderson localization.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.019
GPT teacher head0.340
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it