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Record W2968416579 · doi:10.1063/1.5112106

Tunable acoustic valley edge states in a flow-free resonator system

2019· article· en· W2968416579 on OpenAlexafffund
Xingxing Liu, Qiuquan Guo, Jun Yang

Bibliographic record

VenueApplied Physics Letters · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGapless playbackResonatorBroadbandAcousticsAcoustic attenuationAcoustic metamaterialsAcoustic waveMaterials sciencePhysicsOptoelectronicsAttenuationOpticsCondensed matter physics

Abstract

fetched live from OpenAlex

Recent developments in valleytronic materials have inspired developing various analogs of acoustic crystal systems for manipulating airborne acoustic transmissions. Earlier designs of acoustic topological insulators were normally characterized by untunable bulky geometries and a narrow effective frequency response, which limited the design and development of practical acoustic devices. Here, we design a gapless topologically protected acoustic resonator system based on valley edge states in reconfigurable phononic crystals. By simply rotating the modified spiral springs to adjust the inner radius without altering the lattice structure, this method can be utilized to realize backscattering immune, tunable, broadband, and miniaturized functional acoustic applications. This study offers a design route in valley phenomena for acoustic topological flow-free resonator systems.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.006
GPT teacher head0.190
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations14
Published2019
Admission routes2
Has abstractyes

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