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Bayesian Nonparametric Modeling for Rapid Design of Metamaterial Microstructures
Joint Authors
Source
International Journal of Antennas and Propagation
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We consider the problem of rapid design of massive metamaterial (MTM) microstructures from a statistical point of view.
A Bayesian nonparametric model, namely, Gaussian Process (GP) mixture, is developed to generate the mapping relationship from the microstructure’s geometric dimension to the electromagnetic response, which is approximately expressed in a closed form of Drude-Lorentz type model.
This GP mixture model is neatly able to tackle nonstationarity, discontinuities in the mapping function.
The inference is performed using a Markov chain relying on Gibbs sampling.
Experimental results demonstrate that the proposed approach is highly efficient in facilitating rapid design of MTM with accuracy.
American Psychological Association (APA)
Liu, Bin& Ji, Chunlin. 2014. Bayesian Nonparametric Modeling for Rapid Design of Metamaterial Microstructures. International Journal of Antennas and Propagation،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1035994
Modern Language Association (MLA)
Liu, Bin& Ji, Chunlin. Bayesian Nonparametric Modeling for Rapid Design of Metamaterial Microstructures. International Journal of Antennas and Propagation No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1035994
American Medical Association (AMA)
Liu, Bin& Ji, Chunlin. Bayesian Nonparametric Modeling for Rapid Design of Metamaterial Microstructures. International Journal of Antennas and Propagation. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1035994
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1035994