Tunable filtering and demultiplexing in phononic crystals with hollow cylinders.
By Y. Pennec, Bahram Djafari-Rouhani, J. Vasseur, A. Khelif, P. Deymier. 2004
328 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cognitive Neuroscience, Speech and Hearing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- N. J. Gerard
- Yun Jing
- Yuanchen Deng
- Zhi Chen
- Cynthia Rudin
- L. Catherine Brinson
- Alexander C. Ogren
- Mourad Oudich
In Cognitive Neuroscience
- N. J. Gerard
- Yun Jing
- Yuanchen Deng
- Mourad Oudich
- Chiara Daraio
- Zhi Chen
- Cynthia Rudin
- Osama R. Bilal
In Speech and Hearing
Citations in the corpus
- How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning (2021, background): “or stiffness [13, 15]) has been experimentally observed at different scales, which has prompted engineers to explore their use in different applications, ranging from materials for advanced batteries [62], to energy harvesting [12], seismic protection [7, 26, 46, 47], vibration or sound insulation [”
- Architected Lattices for Simultaneous Broadband Attenuation of Airborne Sound and Mechanical Vibrations in All Directions (2018, background): “quency filtering [13,14], and wave guiding [15,16], among others [17].”
- A Review of Tunable Acoustic Metamaterials (2018, background): “Properties of AMMs can be described with homogenized parameters, the effective mass density, and the effective modulus [76,77].”
- Tailoring Structure‐Borne Sound through Bandgap Engineering in Phononic Crystals and Metamaterials: A Comprehensive Review (2022, background): “The latter then became a fundamental physical tool for engineering phononic platforms for wave control for a wide variety of applications including filtering, waveguiding [20,24,26,36–38], demultiplexing [181], optomechanics [132–153], and acoustic energy harvesting [154–162].”