The design of photonic crystals using novel materials holds significant importance in
constructing high-performance, next-generation photonic crystal
devices. In this study, aiming at the requirements for enhanced
transmission and selectivity, we utilized a topology optimization
method based on the method of moving asymptotes (MMA) to realize a
high-temperature superconducting photonic crystal power splitter with
low transmission loss and selectivity effects, which allows for
flexible control and manipulation of optical signals. The method
addresses the shortcomings of traditional scanning techniques, such as
low efficiency and high resource consumption, by allowing for
multi-parameter optimization. This improvement enhances the precision
and effectiveness of the numerical computational iterative process.
The research offers insights into the design of novel optical
devices.