Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning
暫譯: 人工智慧與深度學習驅動的電磁學進展

Campbell, Sawyer D., Werner, Douglas H.

  • 出版商: Wiley
  • 出版日期: 2023-08-22
  • 售價: $5,590
  • 貴賓價: 9.5$5,311
  • 語言: 英文
  • 頁數: 592
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119853893
  • ISBN-13: 9781119853893
  • 相關分類: 人工智慧DeepLearning電磁學 Electromagnetics
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

該領域最新技術的權威參考,並涵蓋重要的基礎概念

人工智慧與深度學習驅動的電磁學進展介紹了在光學和射頻電磁裝置建模、模擬及反向設計等快速增長領域的前沿研究進展。本書全面探討了從基本理論原則和新技術發展到最先進的裝置設計的各個主題,並提供涵蓋廣泛相關子領域的範例。書中內容包括全介質和金屬介質光學超表面的深度學習加速反向設計、用於反向散射的深度神經網絡、深度學習在先進天線設計中的應用及其他相關主題。

為了幫助讀者理解,每章包含10-15幅插圖,包括原型照片、線圖和電場圖。由該領域的領先研究團隊貢獻的範例主題包括人工智慧與深度學習驅動的電磁學進展中的:


  • 光學和光子設計,包括用於光子設計的生成式機器學習和電磁系統的反向設計

  • 射頻和天線設計,包括用於參數電磁建模的人工神經網絡及均勻和非均勻天線陣列的優化與分析

  • 反向散射、目標分類及其他應用,包括用於電氣大型結構的高對比度反向散射的深度學習

人工智慧與深度學習驅動的電磁學進展是電磁學、無線通信、天線/射頻設計和光子學領域的高校教師、研究生和工程師必備的資源,亦適合大型防務承包商和政府實驗室的研究人員參考。

作者簡介

Sawyer D. Campbell 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.

Douglas H. Werner 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.

作者簡介(中文翻譯)

索耶·D·坎貝爾是賓夕法尼亞州立大學電機工程系的助理研究教授,同時也是計算電磁學與天線研究實驗室的副主任。

道格拉斯·H·維爾納是計算電磁學與天線研究實驗室的主任,並且是賓州州立大學材料研究所的教職員。