Metamaterial AI & Electromagnetics: Inverse Photonic Design, Meta surfaces, and Holographic Beamforming (AI & Automation)

Explore the intersection of artificial intelligence, advanced electromagnetics, and engineered metamaterials.

Metamaterial AI & Electromagnetics provides a technical introduction to computational metamaterials, inverse photonic design, programmable metasurfaces, holographic beamforming, transformation optics, and AI-driven electromagnetic engineering.

The book examines how sub-wavelength structures can be computationally designed to manipulate electromagnetic, acoustic, thermal, and optical waves beyond the limitations of conventional materials.

Readers will explore adjoint-state optimization, Maxwell-equation-constrained inverse design, generative metasurface synthesis, Reconfigurable Intelligent Surfaces for next-generation wireless systems, holographic MIMO, transformation optics, optical and acoustic cloaking, thermophotovoltaic metamaterials, neuromorphic optical computing, nanofabrication constraints, and metasurface flat optics.

The volume also introduces practical engineering concepts including manufacturing-tolerant optimization, cleanroom verification, electromagnetic solver workflows, and reference computational metamaterial pipelines.

Designed for engineers, AI practitioners, researchers, and technically curious readers interested in the future of photonics, wireless systems, spatial computing, and computational materials.