Biomimetic acoustic perception via chip-scale dual-soliton microcombs

Teng Tan; Xin-Yue He; Bing Chang; Xu-Han Guo; Heng Zhou; Yong Geng; Yu Wu; Yu-Pei Liang; Ze-Ping Wang; Yong-Jun Huang; Ying-Zhan Yan; Si-Qin Ge; Yi-Kai Su; Chee Wei Wong; Bai-Cheng Yao

doi:10.1186/s43593-025-00099-5

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Biomimetic acoustic perception via chip-scale dual-soliton microcombs

eLight Vol. 5, (2025)

Research Article | Updated：2025-12-01

- Biomimetic acoustic perception via chip-scale dual-soliton microcombs
- Affiliations：
- Author bio：
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- DOI：10.1186/s43593-025-00099-5
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- Received：31 July 2025，
  
  Revised：2025-08-02，
  
  Accepted：06 August 2025，
  
  Published Online：08 September 2025，
  
  Published：2025-12
- Accepted：
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Teng Tan, Xin-Yue He, Bing Chang, et al. Biomimetic acoustic perception via chip-scale dual-soliton microcombs[J]. eLight, 2025, 5.
DOI：

Teng Tan, Xin-Yue He, Bing Chang, et al. Biomimetic acoustic perception via chip-scale dual-soliton microcombs[J]. eLight, 2025, 5. DOI： 10.1186/s43593-025-00099-5.

摘要

Abstract

Acoustic perception is a fairly basic but extraordinary feature in nature

relying on multidimensional signal processing for detection

localization

and recognition. Replicating this capability in compact arti

ficial systems

however

remains a formidable challenge due to limitations in scalability

sensitivity

and integration. Here

imitating the auditory system of insects

we introduce an opto-acoustic perception paradigm using fully-stabilized dual-soliton microcombs. By integrating digitally stabilized on-chip dual-microcombs

silicon optoelectronics and bionic fiber-microphone arrays on a single platform

we achieve parallelized interrogation of over 100 sensors. Leveraging the low-noise

multi-channel coherence of fully-stabilized soliton microcombs

this synergy enables ultra-sensitive detection of 29.3 nPa/Hz

1/2

sub centimeter precise localization

real-time tracking and identification for versatile acoustic targets. Bridging silicon photonics

optical fiber sensing and intelligent signal processing in a chiplet microsystem

our scheme delivers out-of-lab deployable capability on autonomous robotics. This work not only deepens the understanding of frequency comb science

but also establishes a concept of dual-comb-driven sensor networks as a scalable foundation for next-generation opto-acoustic intelligence.

关键词

Keywords

references

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