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Artificial Intelligence in Nanophotonics:From Design to Optical Computing

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摘要 The bidirectional convergence of artificial intelligence and nanophotonics drives photonic technologies toward unprecedented levels of intelligence and efficiency,fundamentally reshaping their design paradigms and application boundaries.With its powerful data-driven and nonlinear optimization capabilities,artificial intelligence has become a powerful tool for optical design,enabling the inverse design of nanophotonics devices while accelerating the forward computation of electromagnetic responses.Conversely,nanophotonics provides a wave-based computational platform,giving rise to novel optical neural networks that achieve high-speed parallel computing and efficient information processing.This paper reviews the latest progress in the bidirectional field of artificial intelligence and nanophotonics,analyzes the basic principles of various applications from a universal perspective,comprehensively evaluates the advantages and limitations of different research methods,and makes a forwardlooking outlook on the bidirectional integration of artificial intelligence and nanophotonics,focusing on analyzing future development trends,potential applications,and challenges.The deep integration of artificial intelligence and nanophotonics is ushering in a new era for photonic technologies,offering unparalleled opportunities for fundamental research and industrial applications.
出处 《Chinese Physics Letters》 2025年第8期333-353,共21页 中国物理快报(英文版)
基金 supported by the National Key R&D Program of China(Grant No.2024YFB3614600) the National Natural Science Foundation of China(Grant No.52402185) Guangzhou Basic and Applied Basic Research Foundation(Grant No.2025A1515011800) Shenzhen Science and Technology Program(Grant No.JCYJ20241202123712017)。
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