Complex‐Amplitude Metasurface Design Assisted by Deep Learning. Issue 9 (22nd July 2022)
- Record Type:
- Journal Article
- Title:
- Complex‐Amplitude Metasurface Design Assisted by Deep Learning. Issue 9 (22nd July 2022)
- Main Title:
- Complex‐Amplitude Metasurface Design Assisted by Deep Learning
- Authors:
- Yang, Yang
Zhang, Xiaohu
Liu, Kaifeng
Zhang, Haimo
Shi, Lintong
Song, Shichao
Tang, Dongliang
Guo, Yongcai - Abstract:
- Abstract: Metasurfaces can enable powerful manipulations for electromagnetic waves, thus many exotic functionalities have been realized. However, constrained by the complexity of metasurface‐modulated complex amplitudes (amplitude and phase), the design of complex‐amplitude metasurfaces sets a high threshold for researchers because of the requirement of plenty of specialized knowledge. In this paper, a deep learning scheme that uses a forward surrogate network to assist complex‐amplitude metasurface design is proposed. The model is simple to construct and easy to converge in training. Accordingly, two complex‐amplitude multiplexing devices, which can simultaneously display a nanoprinting image at the device surface and one/two holographic images in the far field, are designed with the proposed network using the cross‐shaped meta‐atom. The results show that the demonstrated scheme can be used to design the complex‐amplitude metasurface devices easily and effectively once training of the network is completed, and the single‐layer smooth structure holds the advantage for the fabrication. The proposed method here is promising to realize designs of more complex‐amplitude meta‐devices, multi‐polarization, and multi‐wavelength multiplexing meta‐devices. Abstract : A deep learning scheme that uses a forward surrogate network to assist complex‐amplitude metasurface design is proposed. Two complex‐amplitude multiplexing devices, which can simultaneously display a nanoprinting image atAbstract: Metasurfaces can enable powerful manipulations for electromagnetic waves, thus many exotic functionalities have been realized. However, constrained by the complexity of metasurface‐modulated complex amplitudes (amplitude and phase), the design of complex‐amplitude metasurfaces sets a high threshold for researchers because of the requirement of plenty of specialized knowledge. In this paper, a deep learning scheme that uses a forward surrogate network to assist complex‐amplitude metasurface design is proposed. The model is simple to construct and easy to converge in training. Accordingly, two complex‐amplitude multiplexing devices, which can simultaneously display a nanoprinting image at the device surface and one/two holographic images in the far field, are designed with the proposed network using the cross‐shaped meta‐atom. The results show that the demonstrated scheme can be used to design the complex‐amplitude metasurface devices easily and effectively once training of the network is completed, and the single‐layer smooth structure holds the advantage for the fabrication. The proposed method here is promising to realize designs of more complex‐amplitude meta‐devices, multi‐polarization, and multi‐wavelength multiplexing meta‐devices. Abstract : A deep learning scheme that uses a forward surrogate network to assist complex‐amplitude metasurface design is proposed. Two complex‐amplitude multiplexing devices, which can simultaneously display a nanoprinting image at the device surface and one/two holographic images in the far field, are designed using the cross‐shaped meta‐atom. The proposed method is promising to realize designs of more complex‐amplitude meta‐devices. … (more)
- Is Part Of:
- Annalen der Physik. Volume 534:Issue 9(2022)
- Journal:
- Annalen der Physik
- Issue:
- Volume 534:Issue 9(2022)
- Issue Display:
- Volume 534, Issue 9 (2022)
- Year:
- 2022
- Volume:
- 534
- Issue:
- 9
- Issue Sort Value:
- 2022-0534-0009-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-07-22
- Subjects:
- complex amplitude -- deep learning -- holography -- metasurface -- nanoprinting
Physics -- Periodicals
Chemistry -- Periodicals
530.05 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/andp.202200188 ↗
- Languages:
- English
- ISSNs:
- 0003-3804
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0912.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 23216.xml