Sophisticated Electromagnetic Forward Scattering Solver Via Deep Learning

Author : Qiang Ren,Yinpeng Wang,Yongzhong Li,Shutong Qi
Publisher : Springer Nature
Page : 137 pages
File Size : 51,9 Mb
Release : 2021-10-20
Category : Technology & Engineering
ISBN : 9789811662614

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Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning by Qiang Ren,Yinpeng Wang,Yongzhong Li,Shutong Qi Pdf

This book investigates in detail the deep learning (DL) techniques in electromagnetic (EM) near-field scattering problems, assessing its potential to replace traditional numerical solvers in real-time forecast scenarios. Studies on EM scattering problems have attracted researchers in various fields, such as antenna design, geophysical exploration and remote sensing. Pursuing a holistic perspective, the book introduces the whole workflow in utilizing the DL framework to solve the scattering problems. To achieve precise approximation, medium-scale data sets are sufficient in training the proposed model. As a result, the fully trained framework can realize three orders of magnitude faster than the conventional FDFD solver. It is worth noting that the 2D and 3D scatterers in the scheme can be either lossless medium or metal, allowing the model to be more applicable. This book is intended for graduate students who are interested in deep learning with computational electromagnetics, professional practitioners working on EM scattering, or other corresponding researchers.

Author : Yinpeng Wang,Qiang Ren
Publisher : CRC Press
Page : 200 pages
File Size : 53,6 Mb
Release : 2023-07-06
Category : Computers
ISBN : 9781000896657

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Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems by Yinpeng Wang,Qiang Ren Pdf

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 4. Finally, in Chapter 5, a series of the latest advanced frameworks and the corresponding physics applications are introduced. As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

Author : Maokun Li,Marco Salucci
Publisher : IET
Page : 479 pages
File Size : 55,5 Mb
Release : 2023-04-13
Category : Science
ISBN : 9781839535895

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Applications of Deep Learning in Electromagnetics by Maokun Li,Marco Salucci Pdf

This book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate.

Author : Mehta, Shilpa,Abougreen, Arij Naser
Publisher : IGI Global
Page : 384 pages
File Size : 41,6 Mb
Release : 2023-08-18
Category : Technology & Engineering
ISBN : 9781668482889

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Metamaterial Technology and Intelligent Metasurfaces for Wireless Communication Systems by Mehta, Shilpa,Abougreen, Arij Naser Pdf

Metamaterials and metasurfaces are enabling modern 5G/6G wireless systems to achieve high performance while maintaining efficient costs and sizes. In the wireless industry, transmission lines play a fundamental role in the development of guided wave elements, antennas, radio frequency identification (RFID) tags, and sensors whose efficiency may be enhanced using metamaterials. Additionally, a metamaterial absorber can solve the bandwidth issue of the internet of things (IoTs) backhaul network. Metasurfaces are also potential candidates for implementing reconfigurable intelligent surfaces (RISs) due to their special wireless communication capabilities. Metamaterial Technology and Intelligent Metasurfaces for Wireless Communication Systems compiles and promotes metamaterials research and sheds light on how metamaterials and metasurfaces will be used in the 5G era and beyond. Covering topics such as active and passive metamaterials, metasurfaces-inspired antennas, and metamaterials for RFID and sensors, this book is ideal for researchers, students, academicians, and professionals.

Author : Qiang Ren,Su Yan,Atef Z. Elsherbeni
Publisher : John Wiley & Sons
Page : 724 pages
File Size : 42,7 Mb
Release : 2022-11-15
Category : Science
ISBN : 9781119808398

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Advances in Time-Domain Computational Electromagnetic Methods by Qiang Ren,Su Yan,Atef Z. Elsherbeni Pdf

Advances in Time-Domain Computational Electromagnetic Methods Discover state-of-the-art time domain electromagnetic modeling and simulation algorithms Advances in Time-Domain Computational Electromagnetic Methods delivers a thorough exploration of recent developments in time domain computational methods for solving complex electromagnetic problems. The book discusses the main time domain computational electromagnetics techniques, including finite-difference time domain (FDTD), finite-element time domain (FETD), discontinuous Galerkin time domain (DGTD), time domain integral equation (TDIE), and other methods in electromagnetic, multiphysics modeling and simulation, and antenna designs. The book bridges the gap between academic research and real engineering applications by comprehensively surveying the full picture of current state-of-the-art time domain electromagnetic simulation techniques. Among other topics, it offers readers discussions of automatic load balancing schemes for DG-FETD/SETD methods and convolution quadrature time domain integral equation methods for electromagnetic scattering. Advances in Time-Domain Computational Electromagnetic Methods also includes: Introductions to cylindrical, spherical, and symplectic FDTD, as well as FDTD for metasurfaces with GSTC and FDTD for nonlinear metasurfaces Explorations of FETD for dispersive and nonlinear media and SETD-DDM for periodic/ quasi-periodic arrays Discussions of 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 Treatments of deep learning, including time domain electromagnetic forward and inverse modeling using a differentiable programming platform Ideal for undergraduate and graduate students studying the design and development of various kinds of communication systems, as well as professionals working in these fields, Advances in Time-Domain Computational Electromagnetic Methods is also an invaluable resource for those taking advanced graduate courses in computational electromagnetic methods and simulation techniques.

Author : Christos Christodoulou,Michael Georgiopoulos
Publisher : Artech House Publishers
Page : 544 pages
File Size : 52,5 Mb
Release : 2001
Category : Computers
ISBN : UOM:39015049999033

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Applications of Neural Networks in Electromagnetics by Christos Christodoulou,Michael Georgiopoulos Pdf

The high-speed capabilities and learning abilities of neural networks can be applied to quickly solving numerous complex optimization problems in electromagnetics, and this book shows you how. Even if you have no background in neural networks, this book helps you understand the basics of each main network architecture in use today, including its strengths and limitations. Moreover, it gives you the knowledge you need to identify situations when the use of neural networks is the best problem-solving option.

Author : J. Bee Bednar
Publisher : SIAM
Page : 472 pages
File Size : 55,5 Mb
Release : 1992-01-01
Category : Science
ISBN : 0898712734

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Geophysical Inversion by J. Bee Bednar Pdf

This collection of papers on geophysical inversion contains research and survey articles on where the field has been and where it's going, and what is practical and what is not. Topics covered include seismic tomography, migration and inverse scattering.

Author : Phil Kim
Publisher : Apress
Page : 162 pages
File Size : 48,8 Mb
Release : 2017-06-15
Category : Computers
ISBN : 9781484228456

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MATLAB Deep Learning by Phil Kim Pdf

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers Who This Book Is For Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

Author : Yikai Chen,Chao-Fu Wang
Publisher : John Wiley & Sons
Page : 291 pages
File Size : 45,8 Mb
Release : 2015-06-15
Category : Technology & Engineering
ISBN : 9781119038429

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Characteristic Modes by Yikai Chen,Chao-Fu Wang Pdf

Describes how to systematically implement various characteristic mode (CM) theories into designs of practical antenna systems This book examines both theoretical developments of characteristic modes (CMs) and practical developments of CM-based methodologies for a variety of critical antenna designs. The book is divided into six chapters. Chapter 1 provides an introduction and discusses the recent advances of the CM theory and its applications in antenna engineering. Chapter 2 describes the formulation of the characteristic mode theory for perfectly electrically conducting (PEC) bodies and discusses its numerical implementations. Chapter 3 presents the CM theory for PEC structures embedded in multilayered medium and its applications. Chapter 4 covers recent advances in CM theory for dielectric bodies and also their applications. Chapter 5 discusses the CM theory for N-port networks and its applications to the design of antenna arrays. Finally, Chapter 6 discusses the design of platform-integrated antenna systems using characteristic modes. This book features the following: Introduces characteristic mode theories for various electromagnetic structures including PEC bodies, structures in multilayered medium, dielectric bodies, and N-port networks Examines CM applications in electrically small antennas, microstrip patch antennas, dielectric resonator antennas, multiport antennas, antenna arrays, and platform mounted antenna systems Discusses numerical algorithms for the implementation of the characteristic mode theories in computer code Characteristic Modes: Theory and Applications in Antenna Engineering will help antenna researchers, engineers, and students find new solutions for their antenna design challenges.

Author : Anonim
Publisher : BoD – Books on Demand
Page : 124 pages
File Size : 45,6 Mb
Release : 2020-12-09
Category : Computers
ISBN : 9781839628788

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Advances and Applications in Deep Learning by Anonim Pdf

Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.

Author : Jian-Ming Jin
Publisher : John Wiley & Sons
Page : 800 pages
File Size : 41,9 Mb
Release : 2015-02-18
Category : Science
ISBN : 9781118842027

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The Finite Element Method in Electromagnetics by Jian-Ming Jin Pdf

A new edition of the leading textbook on the finite element method, incorporating major advancements and further applications in the field of electromagnetics The finite element method (FEM) is a powerful simulation technique used to solve boundary-value problems in a variety of engineering circumstances. It has been widely used for analysis of electromagnetic fields in antennas, radar scattering, RF and microwave engineering, high-speed/high-frequency circuits, wireless communication, electromagnetic compatibility, photonics, remote sensing, biomedical engineering, and space exploration. The Finite Element Method in Electromagnetics, Third Edition explains the method’s processes and techniques in careful, meticulous prose and covers not only essential finite element method theory, but also its latest developments and applications—giving engineers a methodical way to quickly master this very powerful numerical technique for solving practical, often complicated, electromagnetic problems. Featuring over thirty percent new material, the third edition of this essential and comprehensive text now includes: A wider range of applications, including antennas, phased arrays, electric machines, high-frequency circuits, and crystal photonics The finite element analysis of wave propagation, scattering, and radiation in periodic structures The time-domain finite element method for analysis of wideband antennas and transient electromagnetic phenomena Novel domain decomposition techniques for parallel computation and efficient simulation of large-scale problems, such as phased-array antennas and photonic crystals Along with a great many examples, The Finite Element Method in Electromagnetics is an ideal book for engineering students as well as for professionals in the field.

Author : Ozgur Ergul,Levent Gurel
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 43,7 Mb
Release : 2014-04-22
Category : Science
ISBN : 9781118844915

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The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetics Problems by Ozgur Ergul,Levent Gurel Pdf

The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetic Problems provides a detailed and instructional overview of implementing MLFMA. The book: Presents a comprehensive treatment of the MLFMA algorithm, including basic linear algebra concepts, recent developments on the parallel computation, and a number of application examples Covers solutions of electromagnetic problems involving dielectric objects and perfectly-conducting objects Discusses applications including scattering from airborne targets, scattering from red blood cells, radiation from antennas and arrays, metamaterials etc. Is written by authors who have more than 25 years experience on the development and implementation of MLFMA The book will be useful for post-graduate students, researchers, and academics, studying in the areas of computational electromagnetics, numerical analysis, and computer science, and who would like to implement and develop rigorous simulation environments based on MLFMA.

Author : Anonim
Publisher : Unknown
Page : 568 pages
File Size : 54,8 Mb
Release : 1994
Category : Aeronautics
ISBN : MINN:30000005901313

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Scientific and Technical Aerospace Reports by Anonim Pdf

Author : Michael I. Mishchenko,Larry D. Travis,Andrew A. Lacis
Publisher : Cambridge University Press
Page : 562 pages
File Size : 46,9 Mb
Release : 2002-06-06
Category : Science
ISBN : 052178252X

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Scattering, Absorption, and Emission of Light by Small Particles by Michael I. Mishchenko,Larry D. Travis,Andrew A. Lacis Pdf

A thorough and up-to-date treatment of electromagnetic scattering by small particles.

Author : Mainak Bandyopadhyay,Minakhi Rout,Suresh Chandra Satapathy
Publisher : Springer Nature
Page : 208 pages
File Size : 54,8 Mb
Release : 2021-04-28
Category : Technology & Engineering
ISBN : 9789811609350

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Machine Learning Approaches for Urban Computing by Mainak Bandyopadhyay,Minakhi Rout,Suresh Chandra Satapathy Pdf

This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It details multiple types of data generating from urban activities and suitability of various machine learning algorithms for handling urban data. The book is helpful for researchers, academicians, faculties, scientists and geospatial industry professionals for their research work and sets new ideas in the field of urban computing.