Advances in Acoustic/Elastic Wave Sensing for Information Processing

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About this Research Topic

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Background

Acoustic/elastic waves carry useful physical information in various fields. Such information in the physical world is processed in the digital world for physical knowledge and insights. In this sense, the convergence of the physical and the digital world is of great importance, which will be fully indebted to sophisticated sensing technology to seemingly connect the two worlds. Conventional wave sensing approaches have some limitations. For example, these require multiple expensive sensors, or bulky sensors that disturb the wave field. Moreover, these approaches present challenges in the imaging of a subwavelength object in the far field, and suffer from poor sensitivity in the case of high impedance mismatch across two media.

Metamaterials have revolutionized research on acoustic/elastic wave control. Specifically, considerable progress has been made in imaging and sensing applications to address the challenges imposed by conventional sensing methods. Metamaterial-based sensing enables us to use smaller sensors by maximizing interaction with wave and sensors. This can also reduce the number of sensors by implementing compressive sensing augmented by artificial intelligence, and allows far field subwavelength imaging by converting the near field information to the propagating field.
Beyond improving the sensing capabilities, metamaterial-based sensing technologies can perform mathematical operation and wave-based analog computing. There is also the possibility of seeing and recognizing an object whose size is much smaller than the illumination wavelength using resonant metamaterial lenses.

This Research Topic aims to attract articles related to the following topics:
• Far-field subwavelength imaging
• Wave direction sensing/ source localization
• Wave-based mathematical operation
• Wave-based analog computing
• Superscattering, scattering cancellation
• Metamaterial-based Impedance matching
• Metamaterial-based compressive sensing
• Metamaterial-based NDE/NDT
• Al metamaterials

Topic Editor Dr. Taehwa Lee is employed by Toyota Motor North America, a private company. All other Topic Editors declare no competing interests with regards to the Research Topic subject

Keywords: Metamaterials, wave-based computing, source localization

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