BP neural network model for reverse design of two-dimensional triangular lattice photonic crystals

Abstract

By learning the related properties of photonic crystals, two-dimensional photonic crystals with triangular lattice are selected for study. The point defects are set up and the photon band calculation is carried out by using MPB. The calculated sample data is imported into MATLAB, and the relationship between point defects and photonic energy bands is found by building Bp neural network model, which provides a new method to solve the reverse design of photonic crystals.