Detailansicht
Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning
eBook - IEEE Press Series on Electromagnetic Wave Theory
ISBN/EAN: 9781119853909
Umbreit-Nr.: 424906
Sprache:
Englisch
Umfang: 592 S., 18.82 MB
Format in cm:
Einband:
Keine Angabe
Erschienen am 03.08.2023
Auflage: 1/2023
E-Book
Format: PDF
DRM: Adobe DRM
- Zusatztext
- <b>Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning</b><p><b>Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts</b><p><i>Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning</i> 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.<p>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<i>Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning</i> include:<ul><li>Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems</li><li>RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays</li><li>Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures</li></ul><p><i>Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning</i> 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.
- Autorenportrait
- <p><b>Sawyer D. Campbell</b> is an Assistant Research Professor in the Pennsylvania State University Department of Electrical Engineering where he is also the associate director of the Computational Electromagnetics and Antennas Research Lab.<p><b>Douglas H. Werner</b> is the director of the Computational Electromagnetics and Antennas Research Lab as well as a faculty member of the Materials Research Institute at Penn State.