Thin-film neural networks for optical inverse problem  

作　　者：Lingjie Fan Ang Chen Tongyu Li Jiao Chu Yang Tang Jiajun Wang Maoxiong Zhao Tangyao Shen Minjia Zheng Fang Guan Haiwei Yin Lei Shi Jian Zi 

机构地区：[1]State Key Laboratory of Surface Physics,Key Laboratory of Micro-and Nano-Photonic Structures(Ministry of Education)and Department of Physics,Fudan University,Shanghai 200433,China [2]Shanghai Engineering Research Center of Optical Metrology for Nano-fabrication(SERCOM),Shanghai 200433,China [3]Institute for Nanoelectronic devices and Quantum computing,Fudan University,Shanghai 200438,China [4]Collaborative Innovation Center of Advanced Microsstructures,Nanjing University,Nanjing 210093,China

出　　处：《Light(Advanced Manufacturing)》2021年第4期23-30,共8页光（先进制造）（英文）

基　　金：This work was supported by the China National Key Basic Research Program(2018YFA0306201);the National Science Foundation of China(11774063,11727811,and 91963212);A.C.was supported by the Shanghai Rising-Star Program(20QR1402200);L.S.was further supported by the Science and Technology Commission of Shanghai Municipality(19XD143600,2019SHZDZX01,19DZ2253000,20501110500).

摘　　要：The thin-film optical inverse problem has attracted a great deal of attention in science and industry,and is widely applied to optical coatings.However,as the number of layers increases,the time it takes to extract the parameters of thin films drastically increases.Here,we introduce the idea of exploiting the structural similarity of all-optical neural networks and applied it to the optical inverse problem.We propose thin-film neural networks(TFNNs)to efficiently adjust all the parameters of multilayer thin films.To test the performance of TFNNs,we implemented a TFNN algorithm,and a reflectometer at normal incidence was built.Operating on multilayer thin films with 232 layers,it is shown that TFNNs can reduce the time consumed by parameter extraction,which barely increased with the number of layers compared with the conventional method.TFNNs were also used to design multilayer thin films to mimic the optical response of three types of cone cells in the human retina.The light passing through these multilayer thin films was then recorded as a colored photo.

关 键 词：METHOD INVERSE FILM 

分 类 号：O48[理学—固体物理]