Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.

This book presents cutting-edge research advances in the rapidly growing areas of nanoantennas and plasmonics as well as their related enabling technologies and applications. It provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments, to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book also covers highly-directive nanoantennas, all-dielectric and tuneable/reconfigurable devices, metasurface optical components, and other related topics. Intended to provide valuable information for researchers and graduate students in electromagnetics, antennas and propagation, coverage includes the following topics: optical properties of plasmonic nanoloop antennas; passive and active nano cylinders; coherent control of light scattering; time domain modeling with the generalized dispersive material model; inverse-design of plasmonic and dielectric optical nanoantennas; multi-level atomic systems for modeling nonlinear light-matter interactions; nonlinear multipolar interference: from non-reciprocal directionality to one-way nonlinear mirrors; plasmonic metasurfaces for controlling harmonic generations; optical nanoantennas for enhanced THz emission; active photonics based on phase-change materials and reconfigurable nanowire systems; and nanofabrication techniques for subwavelength optics.