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Record W4214920463 · doi:10.1002/admt.202101186

Negative Refraction Acoustic Lens Based on Elastic Shell Encapsulated Bubbles

2022· article· en· W4214920463 on OpenAlex

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.

Bibliographic record

VenueAdvanced Materials Technologies · 2022
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsWestern University
FundersK. C. Wong Education FoundationNational Natural Science Foundation of China
KeywordsMetamaterialNegative refractionCloakingAcoustic metamaterialsAcousticsUnderwaterOpticsMaterials scienceSlabRefractionBubbleRefractive indexLens (geology)PhysicsMechanicsGeology

Abstract

fetched live from OpenAlex

Abstract Advanced devices for acoustic negative refraction and cloaking can be achieved by utilizing acoustic metamaterials. However, the capacities of acoustic metamaterials often are weakened or even disappear when considering thermoviscous loss and damping, which limits the applications of metamaterials. Here, the negative refraction and acoustic imaging capacity of acoustic metamaterials that are comprised of 2D underwater elastic shell encapsulated bubble arrays numerically and experimentally is verified. The influence of thermoviscous loss and damping in solid structures on imaging is discussed. The transmission loss can be reduced by structural optimization. Accordingly, focusing of the sound emitted by a point source is achieved using a flat metamaterial slab whose effective refractive index is −1, which is promising for underwater acoustic imaging.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.233
Teacher spread0.221 · 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