摘要
In the recent years,a dramatic boost of the research is observed at the junction of photonics,machine learning and artifi-cial intelligence.A new methodology can be applied to the description of a variety of photonic systems including optical waveguides,nanoantennas,and metasurfaces.These novel approaches underpin the fundamental principles of light-matter interaction developed for a smart design of intelligent photonic devices.Artificial intelligence and machine learn-ing penetrate rapidly into the fundamental physics of light,and they provide effective tools for the study of the field of metaphotonics driven by optically induced electric and magnetic resonances.Here we overview the evaluation of meta-photonics induced by artificial intelligence and present a summary of the concepts of machine learning with some specif-ic examples developed and demonstrated for metasystems and metasurfaces.
基金
supported by Priority 2030 Federal Academic Leadership Program
support from the Foundation for the Advancement of Theoretical Physics and Mathematics“BASIS”
support from the Australian Research Council(grant CE170100012)
support from the Strategic Fund of the Australian National University
The Australian Research Council(grants DP200101168 and DP210101292)
the Russian Science Foundation(grant 21-72-30018)
the US Army International Office(grant FA5209-21-P0034)。
