Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning
IEEE Press Series on Electromagnetic Wave Theory

Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

    • US$134.99
    • US$134.99

출판사 설명

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 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.

장르
전문직 및 기술
출시일
2023년
8월 3일
언어
EN
영어
길이
592
페이지
출판사
Wiley
판매자
John Wiley & Sons, Inc.
크기
982.6
MB
Understanding Geometric Algebra for Electromagnetic Theory Understanding Geometric Algebra for Electromagnetic Theory
2011년
Theory and Computation of Electromagnetic Fields in Layered Media Theory and Computation of Electromagnetic Fields in Layered Media
2024년
Deterministic and Stochastic Modeling in Computational Electromagnetics Deterministic and Stochastic Modeling in Computational Electromagnetics
2023년
Foundations of Antenna Radiation Theory Foundations of Antenna Radiation Theory
2023년
Advances in Time-Domain Computational Electromagnetic Methods Advances in Time-Domain Computational Electromagnetic Methods
2022년
Electromagnetic Radiation, Scattering, and Diffraction Electromagnetic Radiation, Scattering, and Diffraction
2021년