Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Authoritative reference on the state of the art in the field with additional coverage of important foundational conceptsAdvances 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 structuresAdvances 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