A unique physics-inspired deep-learning-based platform introducing a generalized tool for rapid optical-response prediction and parametric-optimization for all-dielectric metasurfaces-Reference-Cited by-同舟云学术

A unique physics-inspired deep-learning-based platform introducing a generalized tool for rapid optical-response prediction and parametric-optimization for all-dielectric metasurfaces

Published:2022 Issue:44 Volume:14 Page:16436-16449
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Noureen Sadia¹,Mehmood Muhammad Qasim¹^ORCID,Ali Mohsen²,Rehman Bacha³^ORCID,Zubair Muhammad¹^ORCID,Massoud Yehia⁴^ORCID

Affiliation:

1. MicroNano Lab, Electrical Engineering Department, Information Technology University (ITU) of the Punjab, Ferozepur Road, Lahore 54600, Pakistan

2. Department of Computer Science, Information Technology University (ITU) of the Punjab, Arfa Software Technology Park, Ferozepur Road, Lahore 54600, Pakistan

3. NAMAL University, Mianwali, Pakistan

4. Innovative Technologies Laboratories (ITL), King Abdullah University of Science and Technology (KAUST), Saudi Arabia

Abstract

Metasurfaces are composed of a two-dimensional array of carefully engineered subwavelength structures.

Funder

King Abdullah University of Science and Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NR/D2NR03644D

Reference41 articles.

1. An Overview of the Theory and Applications of Metasurfaces: The Two-Dimensional Equivalents of Metamaterials

2. Dielectric gradient metasurface optical elements

3. Light Propagation with Phase Discontinuities: Generalized Laws of Reflection and Refraction

4. Broadband Metasurfaces with Simultaneous Control of Phase and Amplitude

5. Dynamic metasurface lens based on MEMS technology

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Synergizing deep learning and phase change materials for four-state broadband multifunctional metasurfaces in the visible range;Optics & Laser Technology;2025-02

2. Polarization-controlled metasurface design based on deep ResNet;Optics & Laser Technology;2024-12

3. Data-driven intelligent design and optimization of chiral meta-devices;Machine Learning in Photonics;2024-06-18

4. Machine learning for metasurfaces broadband absorber design;Data Science for Photonics and Biophotonics;2024-06-18

5. Broadband light structuring through all-dielectric metasurfaces for imaging applications;Optics, Photonics, and Digital Technologies for Imaging Applications VIII;2024-06-18