Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

High-dimensional multiplexed metamaterial for cross-media all-sound communication.

Materials horizons·2026

Same author

Orbital angular momentum- and frequency-dependent high-capacity encrypted hologram through multi-dimensional multiplexing acoustic metasurface.

Nature communications·2025

Same author

Superwavelength self-healing of spoof surface sonic Airy-Talbot waves.

Nature communications·2023

Same author

Metamaterial-based real-time communication with high information density by multipath twisting of acoustic wave.

Nature communications·2022

Same author

Efficient nonreciprocal mode transitions in spatiotemporally modulated acoustic metamaterials.

Science advances·2021

Same author

Transjugular intrahepatic portosystemic shunt for hepatic sinusoidal obstruction syndrome associated with consumption of Gynura segetum.

BMC gastroenterology·2021

Same journal

Plasmonic nanocomposite helices for weather-adaptive LiDAR function.

Nature communications·2026

Same journal

Multidirectional strain-insensitive stretchable RF electronics.

Nature communications·2026

Same journal

In-scanner thoughts contribute to resting-state functional connectivity.

Nature communications·2026

Same journal

Metal-center electron affinity modulates multicolor electrochromism in 2D conjugated metal-organic frameworks.

Nature communications·2026

Same journal

Hyperbranched dielectric polymer networks exhibiting giant energy storage density at 250 °C.

Nature communications·2026

Same journal

3D nanoprinting of metals by spatiotemporally confined hot electrons via multiple-electron excitations in nanocrystals.

Nature communications·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 26, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Meta-neural-network for real-time and passive deep-learning-based object recognition.

Jingkai Weng¹, Yujiang Ding¹, Chengbo Hu¹

¹Key Laboratory of Modern Acoustics, MOE, Institute of Acoustics, Department of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, P. R. China.

Nature Communications

|December 10, 2020

Summary

This summary is machine-generated.

This study introduces a compact meta-neural network for real-time object recognition using acoustic scattering. This novel device mimics deep learning capabilities without bulky components, enabling faster signal analysis.

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

Related Experiment Videos

Last Updated: Nov 26, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

Area of Science:

Acoustics and wave physics
Metamaterials
Deep learning

Background:

Object recognition via scattered wave analysis is crucial in wave physics.
Deep learning excels at wave field interpretation but requires extensive postprocessing or large elements.
Existing methods face limitations in speed and size for real-time applications.

Purpose of the Study:

To theoretically propose and experimentally demonstrate a passive, small-footprint meta-neural network for real-time object recognition.
To showcase the meta-neural network's ability to mimic standard neural networks for signal analysis.
To explore new metamaterial-based deep learning paradigms.

Main Methods:

Development of a meta-neural network utilizing metamaterial unit-cells (meta-neurons).
Training meta-neurons to produce deep-subwavelength phase shifts, acting as trainable parameters.
Experimental validation using acoustic scattering for object recognition tasks.

Main Results:

Demonstration of a purely-passive and small-footprint meta-neural network.
Successful real-time recognition of complicated objects through acoustic scattering analysis.
Validation of the meta-neural network's ability to perform tasks like handwritten digit recognition and vortex analysis.

Conclusions:

The meta-neural network effectively mimics deep learning functions with enhanced compactness.
The proposed mechanism offers a new pathway for metamaterial-based deep learning.
This technology has significant potential for automatic signal analysis in acoustics and related fields.