Wang, Fang https://orcid.org/0000-0002-5054-8010
Shu, Xuewen https://orcid.org/0000-0003-4888-0767
Funding for this research was provided by:
Key R&D Program of Hubei Province (2021BAA036)
National Natural Science Foundation of China (62275093)
National Key R&D Program of China (2018YFE0117400)
Article Title: Design of a bifocal metalens with tunable intensity based on deep-learning-forward genetic algorithm
Journal Title: Journal of Physics D: Applied Physics
Article Type: paper
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Publication dates
Date Received: 2022-11-25
Date Accepted: 2023-02-03
Online publication date: 2023-02-15