Nanophotonics and Machine Learning - Concepts, Fundamentals, and Applications (Hardcover, 1st ed. 2023)

This book, the first of its kind, bridges the gap between the increasingly interlinked fields of nanophotonics and artificial intelligence (AI). While artificial intelligence techniques, machine learning in particular, have revolutionized many different areas of scientific research, nanophotonics holds a special position as it simultaneously benefits from AI-assisted device design whilst providing novel computing platforms for AI. This book is aimed at both researchers in nanophotonics who want to utilize AI techniques and researchers in the computing community in search of new photonics-based hardware. The book guides the reader through the general concepts and specific topics of relevance from both nanophotonics and AI, including optical antennas, metamaterials, metasurfaces, and other photonic devices on the one hand, and different machine learning paradigms and deep learning algorithms on the other. It goes on to comprehensively survey inverse techniques for device design, AI-enabled applications in nanophotonics, and nanophotonic platforms for AI. This book will be essential reading for graduate students, academic researchers, and industry professionals from either side of this fast-developing, interdisciplinary field.   

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Series in Optical Sciences, 241
Release date:	March 2023
First published:	2023
Authors:	Kan Yao • Yuebing Zheng
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	178
Edition:	1st ed. 2023
ISBN-13:	978-3-03-120472-2
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Physics > Optics (light) Books > Professional & Technical > Mechanical engineering & materials > Materials science > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Microwave technology Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > General Promotions
LSN:	3-03-120472-7
Barcode:	9783031204722

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