Title: Surrogate-based model for metamaterial synthesis

Authors: Sambhudutta Nanda; Prasanna Kumar Sahu; Rabindra Kishore Mishra

Addresses: Department of Electrical Engineering, National Institute of Technology Rourkela, Odisha, India ' Department of Electrical Engineering, National Institute of Technology Rourkela, Odisha, India ' Department of Electronic Science, Berhampur University, Odisha, India

Abstract: In this work, we propose a novel computer-aided design (CAD) model design for metamaterial analysis, based on neuro-space mapping. Neuro-space mapping is a combination of two robust optimisation techniques, artificial neural network (ANN) and space mapping (surrogate-based modelling). The developed model calculates the permeability of a metamaterial unit cell, for which closed-form formula is not available. The model takes the dimensions of the metamaterial unit cell as the input, and then gives the output as the split ring resonator (SRR) dimension. From the SRR dimension, the material parameters are calculated using available closed-form formula. The model is first developed with a Ω-atom unit cell, and then verified applying the model to a deformed-Ω atom unit cell.

Keywords: metamaterial; artificial neural network; ANN; space mapping; functionally linked artificial neural network; FLANN.

DOI: 10.1504/IJCAET.2021.118473

International Journal of Computer Aided Engineering and Technology, 2021 Vol.15 No.4, pp.565 - 577

Received: 20 Dec 2018
Accepted: 28 Feb 2019
Published online: 27 Oct 2021 *

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