Optical trapping-enhanced probes designed by a deep learning approach  

作　　者：MIAO PENG GUANGZONG XIAO XINLIN CHEN TE DU TENGFANG KUANG XIANG HAN WEI XIONG GANGYI ZHU JUNBO YANG ZHONGQI TAN KAIYONG YANG HUI LUO 

机构地区：[1]College of Advanced Interdisciplinary Studies,National University of Defense Technology,Changsha 410073,China [2]College of Electronic Information and Physics,Central South University of Forestry and Technology,Changsha 410004,China [3]Nanhu Laser Laboratory,National University of Defense Technology,Changsha 410021,China [4]Center of Material Science,National University of Defense Technology,Changsha 410073,China [5]College of Communication and Information Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China

出　　处：《Photonics Research》2024年第5期959-968,共10页光子学研究（英文版）

基　　金：Major Science and Technological Research Project of Hunan Province(2023JZ1010);Natural Science Foundation of Hunan Province(2021JJ40679);Scientific Research Project of the National University of Defense Technology(ZK20-14);National Natural Science Foundation of China(61975237)。

摘　　要：Realizing optical trapping enhancement is crucial in biomedicine,fundamental physics,and precision measurement.Taking the metamaterials with artificially engineered permittivity as photonic force probes in optical tweezers will offer unprecedented opportunities for optical trap enhancement.However,it usually involves multi-parameter optimization and requires lengthy calculations;thereby few studies remain despite decades of research on optical tweezers.Here,we introduce a deep learning(DL)model to attack this problem.The DL model can efficiently predict the maximum axial optical stiffness of Si∕Si_(3)N_(4)(SSN)multilayer metamaterial nanoparticles and reduce the design duration by about one order of magnitude.We experimentally demonstrate that the designed SSN nanoparticles show more than twofold and fivefold improvement in the lateral(k_(x)and k_(y))and the axial(k_(z))optical trap stiffness on the high refractive index amorphous TiO_(2)microsphere.Incorporating the DL model in optical manipulation systems will expedite the design and optimization processes,providing a means for developing various photonic force probes with specialized functional behaviors.

关 键 词：TRAPPING OPTIMIZATION STIFFNESS 

分 类 号：O43[机械工程—光学工程] TP18[理学—光学]