Issue |
Eur. Phys. J. Appl. Phys.
Volume 90, Number 2, May 2020
International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF 2019)
|
|
---|---|---|
Article Number | 20901 | |
Number of page(s) | 7 | |
Section | Physics of Energy Transfer, Conversion and Storage | |
DOI | https://doi.org/10.1051/epjap/2020200014 | |
Published online | 30 June 2020 |
https://doi.org/10.1051/epjap/2020200014
Regular Article
Quick retrieval of effective electromagnetic metamaterial parameters by using a Multi-fidelity Surrogate Modelling approach★
1
Department of Information Engineering, Infrastructures and Sustainable Energy, Mediterranea University, Reggio Calabria, Italy
2
Department of Civil, Energetic, Environmental and Material Engineering, Mediterranea University,
Reggio Calabria, Italy
3
Department of Electrical, Computer and Biomedical Engineering, University of Pavia,
Pavia, Italy
* e-mail: giovanni.angiulli@unirc.it
Received:
20
January
2020
Received in final form:
8
May
2020
Accepted:
11
May
2020
Published online: 30 June 2020
Electromagnetic metamaterials (MMs) are artificial composites that exhibit exceptional physical characteristics. Their design, which relies on the retrieving of the effective medium parameters, is usually a very time-consuming process because of the high number of full-wave simulations involved in this task. To alleviate the related computational burden, we propose to use a Multi-fidelity Surrogate Modelling (MFSM) approach. Numerical results demonstrate that this methodology turns out to be promising for a quick evaluation of the scattering parameters from which the effective constitutive parameters of a MM are retrieved, as shown by two numerical examples.
© EDP Sciences, 2020
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.