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Record W4404122099 · doi:10.1093/nsr/nwae366

Background and emerging applications of acoustic metamaterials: a forum on classical waves

2024· article· en· W4404122099 on OpenAlex
He Zhu

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

VenueNational Science Review · 2024
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsSR Research (Canada)
Fundersnot available
KeywordsMetamaterialAcousticsPhysicsOptics

Abstract

fetched live from OpenAlex

Abstract Advancements in physical concepts and manufacturing technology such as 3D printing have generated an exciting field of research in recent years that is known as ‘metamaterials’. When applied to electromagnetic waves, novel applications have emerged in sensing or cloaking devices. In contrast, acoustic metamaterials may provide solutions to acoustic problems as well as a conceptual and developmental platform for condensed-matter physics. National Science Review invited Prof. Hong Chen of Tongji University to organize a forum to discuss this unique field of acoustic metamaterials in physical research. Che Ting Chan (陈子亭) Professor, Department of Physics, Hongkong University of Science and Technology Yan-Feng Chen (陈延峰) Professor, College of Engineering and Applied Sciences, Nanjing University Zhengyou Liu (刘正猷) Professor, School of Physical & Electronic Sciences, Wuhan University Jie Zhu (祝捷) Professor, School of Physical Science and Engineering, Tongji University Hong Chen (陈鸿) (Chair) Professor, School of Physical Science and Engineering, Tongji University

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.051
GPT teacher head0.373
Teacher spread0.322 · 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