Overview
  • Overview

Solver Overview

Descriptions of FDTD, FDFD, and FDE solver settings.

Solver

This section describes solvers.
This software integrates a specific computational electromagnetics algorithm as a Solver option under the Simulation, and currently includes three solvers: FDTD, FDFD, and FDE.

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FDTD Settings

This section describes the settings for FDTD solvers.

Select the FDTD button in the Home tab and click any empty space in the Composite viewer to create an FDTD solver. Then modify the settings of the FDTD solver in the automatically pop-up Edit properties interface to complete the addition of the FDTD solver.

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FDFD Settings

This section describes the settings for FDFD solvers.

Select the FDFD button in the Home tab and click any empty space in the Composite viewer to create an FDFD solver. Then modify the settings of the FDFD solver in the automatically pop-up Edit properties interface to complete the addition of the FDFD solver.

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FDE Settings

This section describes the settings for FDE solvers.

Select the FDE button in the Home tab and click any empty space in the Composite viewer to create an FDE solver. Then modify the settings of the FDE solver in the automatically pop-up Edit properties interface to complete the addition of the FDE solver.

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2.5D settings

This section is an introduction to 2.5D effective index theory and the unique settings for 2.5D finite difference time domain (FDTD) and 2.5D finite difference frequency domain (FDFD).

When 2.5D is selected for Dimension and Polarization tab on the FDTD and FDFD pages, the 2.5D settings page will automatically appear. Add the 2.5D solver by modifying the 2.5D settings based on your needs.

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Mesh Setting

This section describes mesh setting in solver.

Mesh is one of the most important settings in a solver and its partitioning has a direct impact on simulation accuracy and efficiency.

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Boundary Condition Settings

This section describes boundary conditions for solvers.

Boundary conditions are one of the important settings for solvers. Selecting appropriate boundary conditions can significantly improve simulation efficiency and accuracy.

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