Integrated Nanophotonics: Platforms, Devices, and Applications, 集積ナノフォトニクス: プラットフォーム、デバイス、アプリケーション, 9783527833047, 978-3-527-83304-7【電子書籍 / 1ユーザー】

Integrated Nanophotonics: Platforms, Devices, and Applications 【電子書籍 / 1ユーザー】

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Integrated Nanophotonics: Platforms, Devices, and Applications 【電子書籍 / 1ユーザー】

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書名

Integrated Nanophotonics: Platforms, Devices, and Applications
集積ナノフォトニクス: プラットフォーム、デバイス、アプリケーション
著者・編者 Yu, P. et al.
出版社 Wiley-VCH
発行年 2023年5月
装丁 電子書籍 / 1ユーザー(Vital Source)
ページ数 384 ページ
ISBN 978-3-527-83304-7
アクセスコード送付予定 ご注文から1-2営業日以内
 

Description

This book introduces the current state of and emerging trends in the development of integrated nanophotonics. Written by three well-qualified authors, it systematically reviews the knowledge of integrated nanophotonics from theory to the most recent technological developments. It also covers the applications of integrated nanophotonics in essential areas such as neuromorphic computing, biosensing, and optical communications. Lastly, it brings together the latest advancements in the key principles of photonic integrated circuits, plus the recent advances in tackling the barriers in photonic integrated circuits.

Sample topics included in this comprehensive resource include:
- Platforms for integrated nanophotonics, including lithium niobate nanophotonics, indium phosphide nanophotonics, silicon nanophotonics, and nonlinear optics for integrated photonics
- The devices and technologies for integrated nanophotonics in on-chip light sources, optical packaging of photonic integrated circuits, optical interconnects, and light processing devices
- Applications on neuromorphic computing, biosensing, LIDAR, and computing for AI and artificial neural network and deep learning

 

Contents:

1 Packaging and Test of Photonic Integrated Circuits (PICs)
2 The Last Mile Technology of Silicon Photonics Toward Productions and Emerging Applications
3 Integrated Nonlinear Photonics and Emerging Applications
4 Excitation, Generation, Positioning, and Modulation for Quantum Light Sources Integrated on Chip
5 Quantum Light Sources in Two-Dimensional Materials
6 Inverse Design for Integrated Photonics Using Deep Neural Network
7 Deep Learning Driven Data Processing, Modeling, and Inverse Design for Nanophotonics
8 Optical Waveguide of Lithium Niobate Nanophotonics
9 Active, Tunable, and Reconfigurable Nanophotonics