Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning 1st Edition

Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning (1st Edition) by Sawyer D. Campbell and Douglas H. Werner is a cutting-edge reference that bridges computational electromagnetics with modern AI techniques. Perfect for engineers, researchers, and graduate students worldwide, this volume reveals how machine learning and deep neural networks are transforming antenna design, metamaterials, microwave/RF systems, and electromagnetic inverse problems.

Start exploring a clear, application-driven narrative that introduces core principles of electromagnetics alongside practical AI and deep learning strategies. Detailed chapters cover data-driven model reduction, surrogate modeling, topology optimization, automated design workflows, and robust inverse-solution methods—each illustrated with real-world examples relevant to telecommunications, remote sensing, aerospace, medical imaging, and defense.

Why this book stands out: it synthesizes theory and practice, presenting both foundational electromagnetic concepts and contemporary AI-driven solutions that accelerate simulation, improve performance, and enable new device architectures. Readers gain actionable insights into adopting neural surrogates, reinforcement learning for adaptive systems, and hybrid physics-informed approaches that reduce computational cost without sacrificing fidelity.

Whether you are optimizing an antenna array for 5G deployments, designing reconfigurable metamaterials, or developing fast solvers for complex environments, this authoritative guide equips you with the tools and perspectives to innovate. Accessible yet rigorous, it supports global practitioners seeking to leverage AI and deep learning to solve next-generation electromagnetics challenges.

Order your copy today and advance your work with a comprehensive resource that unites electromagnetics and AI for practical, high-impact engineering outcomes.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.