High Efficiency Visible Achromatic Metalens Design via Deep Learning

Metalenses with both achromatic performance and high focusing efficiency are always challenging, especially in visible range. In this work, a deep learning model is developed to accelerate the design of achromatic metalenses based on the geometric phase theory. During the building process of the phase response library and selection of the nano-structures, converted transmission coefficients including both phase and amplitude are considered in order to ensure the achromatic focusing, as well as a high focusing efficiency. To test the performance of the design developed from the deep learning model, numerical simulations are performed in the visible wavelengths from 428 to 652 nm, which show a focal length of 266 & mu;m with the deviation under 5%, and the average focusing efficiency reaches 52%.

Automated summary

In this work, a deep learning model is developed to design achromatic metalenses based on the geometric phase theory, which have both color correction and high focusing efficiency. The design takes into account converted transmission coefficients including both phase and amplitude to ensure achromatic focusing and high focusing efficiency. Numerical simulations in the visible wavelengths show that the designed metalenses have a focal length of 266 μm with deviation under 5% and an average focusing efficiency of 52%.