Advances in Time-Domain Computational Electromagnetic Methods
Advances in Time-Domain Computational Electromagnetic Methods
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- More about Advances in Time-Domain Computational Electromagnetic Methods
Advancements in Time-Domain Computational Electromagnetic Methods provide a comprehensive exploration of recent developments in time domain computational methods for solving complex electromagnetic problems. It covers techniques such as FDTD, FETD, DGTD, TDIE, and deep learning, and bridges the gap between academic research and real engineering applications.
Format: Hardback
Length: 720 pages
Publication date: 16 November 2022
Publisher: John Wiley and Sons Ltd
Discover the cutting-edge advancements in time-domain computational electromagnetic methods! This comprehensive guide delves into the latest developments in modeling and simulating complex electromagnetic phenomena. From finite-difference time domain (FDTD) to finite-element time domain (FETD), discontinuous Galerkin time domain (DGTD), time domain integral equation (TDIE), and other advanced techniques, this book covers a wide range of methods used in electromagnetic, multiphysics, and antenna design.
By bridging the gap between academic research and real-world engineering applications, this book provides a comprehensive overview of the current state-of-the-art time domain electromagnetic simulation techniques. It explores topics such as automatic load balancing schemes for DG-FETD/SETD methods, convolution quadrature time domain integral equation methods for electromagnetic scattering, and more.
In addition to these core topics, the book also includes introductions to cylindrical, spherical, and symplectic FDTD, FDTD for metasurfaces with GSTC, and FDTD for nonlinear metasurfaces. It also delves into FETD for dispersive and nonlinear media, SETD-DDM for periodic/quasi-periodic arrays, and TDIE, including explicit marching-on-in-time solvers for second-kind time domain integral equations, TD-SIE DDM, and convolution quadrature time domain integral equation methods for electromagnetic scattering.
Furthermore, the book explores the use of deep learning in time-domain electromagnetic forward and inverse modeling, offering a novel approach to solving complex electromagnetic problems.
Whether you're a researcher, engineer, or student, this book is an essential resource for staying up-to-date with the latest advancements in time-domain computational electromagnetic methods. Don't miss out on this opportunity to expand your knowledge and expertise in this field!
Weight: 1059g
Dimension: 229 x 152 x 39 (mm)
ISBN-13: 9781119808374
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