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Changlin Ding

Researcher at Northwestern Polytechnical University

Publications -  33
Citations -  705

Changlin Ding is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Metamaterial & Acoustic wave. The author has an hindex of 13, co-authored 30 publications receiving 561 citations.

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Two-dimensional acoustic metamaterial with negative modulus

TL;DR: In this article, a two-dimensional acoustic metamaterial with periodical array of split hollow sphere (SHS) was designed and investigated in the impedance tube system, which exhibited a transmission dip and inverse phase close to 5 kHz, which indicated the local resonance of SHS.
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Manipulation of transmitted wave front using ultrathin planar acoustic metasurfaces

TL;DR: In this article, a simple acoustic metasurface is designed and characterized, whose microstructure is constructed with a cavity filled with air and two elastic membranes on the ends of cavity.
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The anomalous manipulation of acoustic waves based on planar metasurface with split hollow sphere

TL;DR: In this article, an acoustic metasurface (AMS) model consisting of split hollow sphere (SHS) resonator arrays with the property of negative modulus is presented. And the authors show that the AMS can imprint phase discontinuities on an acoustic reflected wave as it traverses the interface between two media.
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Double-negative acoustic metamaterial based on hollow steel tube meta-atom

TL;DR: In this paper, the authors presented an acoustic meta-atom model of hollow steel tube (HST) and simulated and experimental results demonstrated that the resonant frequency is closely related to the length of the HST.
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Double-negative acoustic metamaterial based on meta-molecule

TL;DR: In this paper, a double-negative acoustic metamaterial (AM) constructed using unitary meta-molecule structure was constructed using experiments in free space and the refractive index, effective mass density, and effective bulk modulus were found to be negative in a specific frequency region by retrieving the effective parameter from experimental data.