Background and emerging applications of acoustic metamaterials: a forum on classical waves
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".