Separating, purifying and decoding elastic waves by mimicking a cochlea on a thin plate

A human cochlea is capable of continuously separating and amplifying sound of different frequencies to specific positions from 20 to 20,000 Hz, which makes it a high-resolution living sensor. The realization of cochlea-like structure for elastic waves in solids offers a highly desirable functionality on high throughput mechanical energy harvesting and sensing, but remains a challenging topic owing to narrow band and intricate configuration. Here we propose and demonstrate a generic framework of elastic cochlea on a thin plate, enabled by a pair of compact metafence layers. It is experimentally realized to harvest and separate flexural waves in quite a wide frequency range from 5.8 to 21.8 kHz, together with a continuous energy amplification exceeding one magnitude order. An enhanced mode, characterized by a near zero group velocity at a tailored cutoff width, is uncovered to illustrate the filtering and amplification physics. Moreover, complex information demultiplexing and undistorted decoding are further realized by harnessing the high-Q signal sensing and purification. The proposed prototype may stimulate substantial applications on information processing, non-destructive evaluation and other wave regulation scenarios. Cochlea is a high-resolution auditory transduction organ to distinguish sounds in both high sensitivity and broadband working frequency. The authors mimic a cochlea on a plate, which can separate, purify and decode complicated elastic waves in quite a compact way.

Authors

Institutions

Publication Details

Journal
Communications Physics
Published
2024-10-10
DOI
https://doi.org/10.1038/s42005-024-01818-z
Citations
4
Primary Topic
Acoustic Wave Phenomena Research
Type
article
Field-Weighted Citation Impact
0.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Separating, purifying and decoding elastic waves by mimicking a cochlea on a thin plate

Yongquan Liu, Bing Li, Zhen-Dong Sha, Yun Shi et al.
4 citations
Communications Physics
Acoustic Wave Phenomena Research
0.74
article

Separating, purifying and decoding elastic waves by mimicking a cochlea on a thin plate

Yongquan Liu, Bing Li, Zhen-Dong Sha, Yun Shi, Gaoxi Cai, Meiying Zhao
article en
4 citations

Abstract

A human cochlea is capable of continuously separating and amplifying sound of different frequencies to specific positions from 20 to 20,000 Hz, which makes it a high-resolution living sensor. The realization of cochlea-like structure for elastic waves in solids offers a highly desirable functionality on high throughput mechanical energy harvesting and sensing, but remains a challenging topic owing to narrow band and intricate configuration. Here we propose and demonstrate a generic framework of elastic cochlea on a thin plate, enabled by a pair of compact metafence layers. It is experimentally realized to harvest and separate flexural waves in quite a wide frequency range from 5.8 to 21.8 kHz, together with a continuous energy amplification exceeding one magnitude order. An enhanced mode, characterized by a near zero group velocity at a tailored cutoff width, is uncovered to illustrate the filtering and amplification physics. Moreover, complex information demultiplexing and undistorted decoding are further realized by harnessing the high-Q signal sensing and purification. The proposed prototype may stimulate substantial applications on information processing, non-destructive evaluation and other wave regulation scenarios. Cochlea is a high-resolution auditory transduction organ to distinguish sounds in both high sensitivity and broadband working frequency. The authors mimic a cochlea on a plate, which can separate, purify and decode complicated elastic waves in quite a compact way.

Communications PhysicsVol. 7(1)
Northwestern Polytechnical University (CN), Structural Integrity Associates (United States) (US), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 32%
Acoustic Wave Phenomena Research
0.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.