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Numerical Modeling and Intelligent Designs

  • Xiangang LuoEmail author
Chapter

Abstract

The material basis of EO 2.0 is subwavelength structured materials, which possess many intriguing electromagnetic properties that do not exist in nature. The complicated physical mechanisms that describe these light–matter interactions at the nanoscale often cannot be explained by conventional macroscopic theories. Therefore, new analysis and numerical simulation methods must be exploited to give an accurate prediction of the optical performance. Furthermore, since there are so many design freedoms in subwavelength structured materials, traditional trial-and-error method suffers from low efficiency and locally optimized solution. Thanks to the rapid developments in big data and artificial intelligence, some scientific problems that classically require human perception or intricate mechanisms have recently been solved. The concept of design databases, e.g., materials database and inverse design database, has also been proposed. In this chapter, we present some frequently used modeling and optimizing methods of subwavelength structures and show the concept of artificial intelligent materials design platform.

Keywords

Artificial intelligence Optimizing algorithm Transfer matrix method Gerchberg–Saxton algorithm 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and ElectronicsChinese Academy of SciencesChengduChina

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