Unveiling the relationship between Fabry-Perot laser structures and optical field distribution via symbolic regression Author Name Affiliation Postcode LI WENQIANG  Institute of Semiconductors, Chinese Academy of Sciences  100083 WU MIN  Institute of Semiconductors, Chinese Academy of Sciences  LI WEIJUN*  Institute of Semiconductors, Chinese Academy of Sciences  100083 HAO MEILAN  Institute of Semiconductors, Chinese Academy of Sciences  YU LINA  Institute of Semiconductors, Chinese Academy of Sciences  Abstract:       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 inter-pretability. 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 improving 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. Hits: 0 Download times: 0 The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)     Download reader