@inproceedings{d78e882053fd4293a6287e7104c861bf,
title = "Machine Learning Design Metasurface for Arbitrary Beam Generation and Regulation",
abstract = "The development of machine learning has brought great changes to the information age. In this paper, a kind of beam generations and beam regulations using machine learning design metasurface is proposed. Experiments show that this method can arbitrarily generate and regulate beams according to the purpose, and has high efficiency, high universality, and greatly simplifies the design of beam generators.",
keywords = "beam generations, beam regulations, machine learning, metasurface",
author = "Hongmei Li and Axiang Yu and Yuzhong Wang and Cheng Pang and Jiaran Qi",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Antennas and Propagation, ISAP 2023 ; Conference date: 30-10-2023 Through 02-11-2023",
year = "2023",
doi = "10.1109/ISAP57493.2023.10388858",
language = "英语",
series = "2023 IEEE International Symposium on Antennas and Propagation, ISAP 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE International Symposium on Antennas and Propagation, ISAP 2023",
address = "美国",
}