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AIP Conference Proceedings 2009
DOI: 10.1063/1.3253922
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Electromagnetic Scattering of Finite and Infinite 3D Lattices in Polarizable Backgrounds

Abstract: Abstract. A novel method is elaborated for the electromagnetic scattering from periodical arrays of scatterers embedded in a polarizable background. A dyadic periodic Green's function is introduced to calculate the scattered electric field in a lattice of dielectric or metallic objects. The method exhibits strong advantages: discretization and computation of the field are restricted to the volume of the scatterers in the unit cell, open and periodic boundary conditions for the electric field are included in th… Show more

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Cited by 2 publications
(3 citation statements)
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References 9 publications
(11 reference statements)
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“…Periodic structures can be treated using training data describing one unit-cell of the periodic structure. 69,70 In addition, the approach can be extended to spectrally resolved predictions using multiple output layers. Spectral training might be accelerated by transfer learning.…”
Section: Nano Lettersmentioning
confidence: 99%
See 1 more Smart Citation
“…Periodic structures can be treated using training data describing one unit-cell of the periodic structure. 69,70 In addition, the approach can be extended to spectrally resolved predictions using multiple output layers. Spectral training might be accelerated by transfer learning.…”
Section: Nano Lettersmentioning
confidence: 99%
“…However, the method could be further generalized to arbitrary hybrid-material structures using the three-dimensional distribution of the dielectric constant as input. Periodic structures can be treated using training data describing one unit-cell of the periodic structure. , In addition, the approach can be extended to spectrally resolved predictions using multiple output layers. Spectral training might be accelerated by transfer learning.…”
mentioning
confidence: 99%
“…• periodic structures [75,76] • quantum corrected model for plasmonic tunneling currents via junctions of inhomogeneous permittivity [77] • SNOM image calculation/interpretation [78,79] • memory-efficient conjugate gradients solver including FFT-accelerated matrix-vector multiplications for large problems [27] 13. Appendix -Keyword arguments of the most important classes and functions…”
Section: Possible Future Capabilitiesmentioning
confidence: 99%