AUTHORS:

Meng F., Zhao X., Ding J., Niu Y., Zhang X., Smietana M., Buczyński R., Lin B., Tao G., Yang L., Wang X., Lou S., Sheng X. and Liang S.

ABSTRACT:

The test accuracy, confusion matrices, and the receiver operating characteristic curves have shown that our proposed method is effective for predicting the magnitude of CL with a short computation runtime compared to FEM simulation. The feasibility of predicting other performance parameters by the extension of our method, as well as its ability to generalize outside the tested sample space, is also discussed. It is likely that the proposed sample definition and the use of a classification approach can be adopted for design application beyond efficient prediction of ARF CL and inspire artificial intelligence and data-driven-based research of photonic structures.

OPTICS LETTERS, 2021, vol. 46(6), pp. 1454-1457, doi: 10.1364/OL.422511