{"product_id":"advances-in-electromagnetics-empowered-by-artificial-intelligence-and-deep-learning-9781119853893","title":"Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning","description":"\u003cp\u003e • Author(s): Sawyer D. Campbell\u003cbr\u003e • Publisher: Wiley-IEEE Press\u003cbr\u003e • Publisher Imprint: Wiley-IEEE Press\u003cbr\u003e • BISAC: Electronics - General\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAdvances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAuthoritative reference on the state of the art in the field with additional coverage of important foundational concepts\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003eTo 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 \u003ci\u003eAdvances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning\u003c\/i\u003e 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 \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Hardcover","offer_id":45203809730711,"sku":"9781119853893","price":13997.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781119853893.webp?v=1768573584","url":"https:\/\/atlanticbooks.com\/products\/advances-in-electromagnetics-empowered-by-artificial-intelligence-and-deep-learning-9781119853893","provider":"Atlantic Books","version":"1.0","type":"link"}