Unveiling the relationship between Fabry-Perot laser structures and optical field distribution via symbolic regression  

作　　者：LI Wenqiang WU Min LI Weijun HAO Meilan YU Lina 

机构地区：[1]AnnLab,Institute of Semiconductors,Chinese Academy of Sciences,Beijing,100083,China [2]School of Electronic,Electrical and Communication Engineering&School of Integrated Circuits,University of Chinese Academy of Sciences,Beijing,100049,China [3]Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology,Beijing,100083,China

出　　处：《Optoelectronics Letters》2025年第3期149-154,共6页光电子快报(英文版)

基　　金：supported by the National Natural Science Foundation of China(No.92370117);the CAS Project for Young Scientists in Basic Research(No.YSBR-090)。

摘　　要：In recent years,machine learning(ML)techniques have been shown to be effective in accelerating the development process of optoelectronic devices.However,as"black box"models,they have limited theoretical interpretability.In this work,we leverage symbolic regression(SR)technique for discovering the explicit symbolic relationship between the structure of the optoelectronic Fabry-Perot(FP)laser and its optical field distribution,which greatly improves model transparency compared to ML.We demonstrated that the expressions explored through SR exhibit lower errors on the test set compared to ML models,which suggests that the expressions have better fitting and generalization capabilities.

关 键 词：machine learning optoelectronic deviceshoweverasblack optical field distributionwhich symbolic regression symbolic regression sr technique Fabry Perot laser discovering explicit symbolic relationship optical field distribution 

分 类 号：TN248[电子电信—物理电子学]