研究目的
To design a polarization beam splitter for broadband operation using a genetic algorithm to optimize geometric parameters in segmented waveguide sections.
研究成果
The optimization method using a GA successfully designs a broadband polarization beam splitter with suppressed wavelength sensitivity. The CMT analysis agrees well with 3D-FDTD simulations, demonstrating the effectiveness of the approach for arbitrary coupling ratios on a silicon photonic platform.
研究不足
The CMT neglects insertion losses and assumes waveguides are parallel to the z-axis, which may not be exact. The method requires building lookup tables and may be computationally intensive for high-dimensional optimization.
1：Experimental Design and Method Selection:
The design uses a genetic algorithm (GA) for optimization, based on coupled mode theory (CMT) in transfer matrix form to analyze the device. The coupling region is segmented into trapezoidal sections, and parameters are optimized to minimize deviation from target coupling ratios.
2：Sample Selection and Data Sources:
The device is fabricated on a silicon on insulator (SOI) platform, with waveguides WG0 and WG1. Lookup tables for propagation constants β and coupling coefficients κ are built for TE and TM modes as functions of wavelength and geometric parameters.
3：Lookup tables for propagation constants β and coupling coefficients κ are built for TE and TM modes as functions of wavelength and geometric parameters.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Silicon on insulator (SOI) strip waveguides, with specific widths w0(z) and w1(z), and gap G(z) between them. No specific brands or models are mentioned.
4：Experimental Procedures and Operational Workflow:
The GA process includes initial population generation, selection, crossover, and mutation operators. The transfer matrix method is used to calculate spectral responses, and results are verified with 3-D finite-difference time-domain (FDTD) simulations.
5：Data Analysis Methods:
Performance is evaluated using a custom fitness function to minimize deviation in coupling ratios. Lookup tables and interpolation are used for variable values, and FDTD simulations ensure accuracy.
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