Journals >Acta Optica Sinica (Online)
Contents
2025
Volume: 2 Issue 10
2 Article(s)
Export citation format
Optics and Optoelectronic Materials
Deep Learning Approaches in Designing Electromagnetic Metamaterials (Invited)
Donglai Wang, Hui Zhang, Yiming Ma, Zhanshan Wang, and Xinbin Cheng
In recent years, deep learning technology has developed rapidly, demonstrating powerful capabilities in data processing, pattern recognition, and information interpretation, which brings revolutionary potential for efficiency improvements in optimization algorithms. The application of deep learning methods to optimize In recent years, deep learning technology has developed rapidly, demonstrating powerful capabilities in data processing, pattern recognition, and information interpretation, which brings revolutionary potential for efficiency improvements in optimization algorithms. The application of deep learning methods to optimize the design of electromagnetic metamaterials has become a hot research topic and has made significant progress. Against this backdrop, we review existing inverse design methods for electromagnetic metamaterials, including a brief overview of the current status and limitations of classical iterative algorithms, as well as various deep learning-based design techniques. We specifically discuss the application scope, advantages, limitations, and latest research advancements of deep learning-based design techniques. We highlight diverse neural network architectures proposed in the research and their application examples in electromagnetic metamaterial optimization. We also delve into the roles, limitations, and potential applications of these optimization methods in practical design. Finally, we look forward to the future development direction of electromagnetic metamaterial design and its deep integration with artificial intelligence technology..
Acta Optica Sinica (Online)
- Publication Date: May. 25, 2025
- Vol. 2, Issue 10, 1001001 (2025)
Topological Photonics
Research Progress on Topological Rainbow (Invited)
Wen Zhao, Rong Zhou, and Cuicui Lu
Topological states offer advantages such as resistance to interference, suppression of scattering, and high error tolerance, which provides a robust platform for realizing photonic functional devices. A topological rainbow is a frequency-splitting device based on topological states. By precisely designing the geometricTopological states offer advantages such as resistance to interference, suppression of scattering, and high error tolerance, which provides a robust platform for realizing photonic functional devices. A topological rainbow is a frequency-splitting device based on topological states. By precisely designing the geometric structure of a topological insulator, it can separate topological states of different frequencies and trap them in distinct spatial locations, achieving demultiplexing effects. This concept holds great potential for applications in the design and implementation of devices such as topological routing, topological slow light, high-capacity information storage, and broadband information processing. We review recent research progress on topological rainbows, focusing primarily on theoretical and experimental studies in optical systems, while also covering typical classical wave systems such as acoustics and elastic waves. We first introduce the physical principles of topological rainbows, then summarize and analyze the realization schemes of topological rainbows, categorizing them into three types: topological rainbows based on dispersion engineering, topological rainbows based on synthetic dimensions, and topological rainbows based on Landau levels. Finally, the challenges faced in the physical realization and functional applications of topological rainbows are discussed, along with future development directions..
Acta Optica Sinica (Online)
- Publication Date: May. 25, 2025
- Vol. 2, Issue 10, 1010001 (2025)
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20