EPJ Appl. Metamat.
Volume 11, 2024
Special Issue on ‘Metamaterials for Novel Wave Phenomena: Theory, Design and Application in Microwaves’, edited by Sander Mann and Stefano Vellucci
Article Number 10
Number of page(s) 9
Published online 29 April 2024
  1. D. Smith, S. Schultz, P. Markoš, C. Soukoulis, Determination of effective permittivity and permeability of metamaterials from reflection and transmission coefficients, Phys. Rev. B 65, 195104 (2002) [Google Scholar]
  2. D. Smith, D. Vier, T. Koschny, C. Soukoulis, Electromagnetic parameter retrieval from inhomogeneous metamaterials, Phys. Rev. E 71, 036617 (2005) [Google Scholar]
  3. B.W. Weir, Automatic measurement of complex dielectric constant and permeability at microwave frequencies, Proc. IEEE 62, 33 (1974) [Google Scholar]
  4. A.M. Nicolson, G.F. Ross, Measurement of the intrinsic properties of materials by time-domain techniques, IEEE Trans. Instrum. Measur. 19, 377 (1970) [Google Scholar]
  5. D. Kwon, D. Werner, A. Kildishev, V. Shalaev, Material parameter retrieval procedure for general bi-isotropic metamaterials and its application to optical chiral negative-index metamaterial design, Opt. Express 16, 11822 (2008) [Google Scholar]
  6. R. Zhao, T. Koschny, C. Soukoulis, Chiral metamaterials: retrieval of the effective parameters with and without substrate, Opt. Express 18, 14553 (2010) [Google Scholar]
  7. X. Chen, B. Wu, J. Kong, T. Grzegorczyk, Retrieval of the effective constitutive parameters of bianisotropic metamaterials, Phys. Rev. E 71, 046610 (2005) [Google Scholar]
  8. U. Hasar, G. Buldu, Y. Kaya, G. Ozturk, Determination of effective constitutive parameters of inhomogeneous metamaterials with bianisotropy, IEEE Trans. Microwave Theory Tech. 66, 3734 (2018) [Google Scholar]
  9. U. Hasar, J. Barroso, C. Sabah, Y. Kaya, M. Ertugrul, Stepwise technique for accurate and unique retrieval of electromagnetic properties of bianisotropic metamaterials, JOSA B 30, 1058 (2013) [Google Scholar]
  10. U. Hasar, M. Bute, Method for retrieval of electromagnetic properties of inhomogeneous reciprocal chiral metamaterials, IEEE Trans. Antennas Propag. 68, 5714 (2020) [Google Scholar]
  11. Y. Shi, Z. Li, K. Li, L. Li, C. Liang, A retrieval method of effective electromagnetic parameters for inhomogeneous metamaterials, IEEE Trans. Microw. Theory Tech. 65, 1160 (2017) [Google Scholar]
  12. U. Hasar, M. Bute, Parameter retrieval of bianisotropic metamaterials without application of the passivity principle, IEEE Trans. Electromagn. Compatib. 63, 951 (2020) [Google Scholar]
  13. A. Scher, E. Kuester, Extracting the bulk effective parameters of a metamaterial via the scattering from a single planar array of particles, Metamaterials 3, 44 (2009) [Google Scholar]
  14. A. Alù, First-principles homogenization theory for periodic metamaterials, Phys. Rev. B 84, 075153 (2011) [Google Scholar]
  15. X. Liu, A. Alù, Generalized retrieval method for metamaterial constitutive parameters based on a physically driven homogenization approach, Phys. Rev. B 87, 235136 (2013) [Google Scholar]
  16. T. Karamanos, A. Dimitriadis, Polarizability matrix extraction of a bianisotropic metamaterial from the scattering parameters of normally incident plane waves, Adv. Electromagn. 1, 64 (2012) [Google Scholar]
  17. T. Karamanos, A. Dimitriadis, N. Kantartzis, Robust technique for the polarisability matrix retrieval of bianisotropic scatterers via their reflection and transmission coefficients, IET Microw. Antennas Propag. 8, 1398 (2014) [Google Scholar]
  18. T. Karamanos, S. Assimonis, A. Dimitriadis, N. Kantartzis, Effective parameter extraction of 3D metamaterial arrays via first-principles homogenization theory, Photonics Nanostruct. Fundament. Appl. 12, 291 (2014) [Google Scholar]
  19. B. Zerulla, R. Venkitakrishnan, D. Beutel, M. Krstić, C. Holzer, C. Rockstuhl, I. Fernandez‐Corbaton, A T‐matrix based approach to homogenize artificial materials, Adv. Opt. Mater. 11, 2201564 (2023) [Google Scholar]
  20. M. Nitas, T.V. Yioultsis, Electromagnetic parameter retrieval technique utilizing eigenvalue analysis and field averaging, J. Appl. Phys. 131, 114902 (2022) [Google Scholar]
  21. M. Nitas, M. Kafesaki, Arslanagić, Metasurface characterization based on eigenmode analysis and averaging of electromagnetic fields, J. Appl. Phys. 134, 12 (2023) [Google Scholar]
  22. R.D. Graglia, P.L. Uslenghi, R.E. Zich, Dispersion relation for bianisotropic materials and its symmetry properties, IEEE Trans. Antennas Propag. 39, 83 (1991) [Google Scholar]
  23. M. Nitas, T.V. Yioultsis, Characterization of edge-coupled broadside-coupled and complementary split-ring resonator periodic media based on numerical solutions of eigenvalue problems, IEEE Trans. Microw. Theory Tech. 69, 5259 (2021) [Google Scholar]
  24. M. Nitas, V. Salonikios, T.V. Yioultsis, Alternative finite element eigenvalue formulations for the simulation of arbitrarily bianisotropic media, IEEE Trans. Microw. Theory Tech. 71, 570 (2023) [Google Scholar]
  25. V. Salonikios, M. Nitas, S. Raptis, T.V. Yioultsis, Computational analysis of graphene-based periodic structures via a three-dimensional field-flux eigenmode Finite Element formulation, Prog. Electromagn. Res. 92, 157 (2020) [Google Scholar]
  26. M. Nitas, V. Salonikios, C.S. Antonopoulos, T.V. Yioultsis, Numerical calculation of dispersion diagrams and field distributions of waves in 3-D periodic split-ring resonator media, IEEE Trans. Magn. 55, 1 (2019) [Google Scholar]
  27. J.M. Jin, The Finite Element Method in Electromagnetics (John Wiley & Sons, 2015) [Google Scholar]
  28. T. Mackay, A. Lakhtakia, Electromagnetic Anisotropy and Bianisotropy: A Field Guide (World Scientific, 2010) [Google Scholar]
  29. A. Serdiukov et al., Electromagnetics of Bi-anisotropic Materials − Theory and Applications (Gordon and Breach Science Publishers, 2001) [Google Scholar]

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