Visible Achromatic Metalens Design Based on Artificial Neural Network. Issue 3 (23rd November 2021)
- Record Type:
- Journal Article
- Title:
- Visible Achromatic Metalens Design Based on Artificial Neural Network. Issue 3 (23rd November 2021)
- Main Title:
- Visible Achromatic Metalens Design Based on Artificial Neural Network
- Authors:
- Wang, Feilou
Geng, Guangzhou
Wang, Xueqian
Li, Junjie
Bai, Yang
Li, Jianqiang
Wen, Yongzheng
Li, Bo
Sun, Jingbo
Zhou, Ji - Abstract:
- Abstract: Metasurfaces, known as ultra‐thin and planar structures, are widely used in optical components with their excellent ability to manipulate the wavefront of the light. The key function of the metasurfaces is the spatial phase modulation, originated from the meta‐atoms. Thus, to find the relation between the phase modulation and the parameters of an individual meta‐atom, including the sizes, shapes, and material's optical properties, is the most important but also time‐consuming part in the metasurface design. Here by developing a backpropagation neural network based machine learning tool, the design process of a high performance achromatic metalens can be greatly simplified and accelerated. A library of the phase modulation data from 15 753 meta‐atoms can be generated in less than 1 s by our backpropagation neural network. In the experiment, it is demonstrated that the designed metalens shows an excellent achromatic focusing and imaging ability in the visible wavelengths from 420 to 640 nm without the polarization dependence. Abstract : Traditional way of designing a metasurface requires tremendous computation work, which is time‐consuming and unaffordable. Assisted with the machine learning tool based on the backpropagation neural network, the design process of a high performance metalens can be greatly simplified and accelerated, which is experimentally proved to show a polarization‐independent achromatic imaging property in visible range.
- Is Part Of:
- Advanced optical materials. Volume 10:Issue 3(2022)
- Journal:
- Advanced optical materials
- Issue:
- Volume 10:Issue 3(2022)
- Issue Display:
- Volume 10, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 10
- Issue:
- 3
- Issue Sort Value:
- 2022-0010-0003-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-11-23
- Subjects:
- achromatic focusing -- metalenses -- neural networks -- visible wavelength
Optical materials -- Periodicals
Photonics -- Periodicals
620.11295 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2195-1071 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/adom.202101842 ↗
- Languages:
- English
- ISSNs:
- 2195-1071
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.918600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20823.xml