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Record W2904837429 · doi:10.1063/1.5052026

Compact acoustic double negative metamaterial based on coexisting local resonances

2018· article· en· W2904837429 on OpenAlexaff
Xiaobing Cai, Junfeng Xiao, Hongkuan Zhang, Yue Zhang, Gengkai Hu, Jun Yang

Bibliographic record

VenueApplied Physics Letters · 2018
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsWestern University
Fundersnot available
KeywordsMetamaterialNegative massNegative refractionResonance (particle physics)Helmholtz resonatorBulk modulusPhysicsAcoustic resonanceWork (physics)Condensed matter physicsOpticsMaterials scienceAtomic physicsResonatorClassical mechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

Acoustic metamaterials generally exploit resonances to assume negative properties. While many types of resonances can be used for achieving a negative bulk modulus, the number of types of resonances for generating a negative mass density is limited. In this work, a double negative airborne acoustic metamaterial is proposed, whose negative density is achieved from Fabry-Pérot resonance. More specifically, each unit cell of the metamaterial comprises only a single element, allowing coexistence of local Helmholtz resonance and Fabry-Pérot resonance to simultaneously generate a negative modulus and negative density. The metamaterial exhibits a reversed phase velocity and negative refraction, even if the constitutional elements are randomly distributed. This is a pioneering work that an airborne acoustic double negative metamaterial derives negative density from Fabry-Pérot resonance and maintains negative refraction with its constitutional elements randomly distributed.

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.

How this classification was reachedexpand

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.026
GPT teacher head0.257
Teacher spread0.231 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2018
Admission routes1
Has abstractyes

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