Ansys Lumerical DGTD — My First Simulation

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This course demonstrates a typical workflow for setting up an optical simulation using the DGTD solver to obtain the absorption and scattering cross-section of a gold nanoparticle due to Mie scattering. It also introduces other commonly used simulation objects and features in DGTD.

By the end of this course, you will:

  • Know the workflow of a typical DGTD simulation
  • Be familiar with the Finite-Element IDE and available DGTD simulation objects
  • Be able to set up and run a simple DGTD simulation
  • Understand the basic tools to view and analyze results

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In this course, we will discuss the algorithm used in the Ansys Lumerical FEEM (Finite Element Eigen-Mode) solver to find the eigenmodes of a given structure and the properties of those modes. We will also explain the overlap and power coupling calculations, the feature to track modes as a function of frequency and how properties such as dispersion and group velocity are calculated. By the end of this section, you will be able to describe the algorithm used by the FEEM solver, know when the FEEM solver can be used, and understand the differences between the FEEM and the FDE (finite-difference eigenmode) solvers.

In this course, you will be introduced to the DGTD method and typical applications. In addition, you will learn the basic physics behind the DGTD solver and compare it to the FDTD solver. You will understand the type of devices that the DGTD solver is suited for. You will also get familiar with and recognize the differences between the FDTD and DGTD solvers and be able to choose which is more suitable for different applications.

In this course, you will learn common simulation tips for Ansys Lumerical DGTD solver. By the end of this course, you will know the available tools for material modeling in DGTD simulations
You will have an understanding of the different types of boundary conditions available in DGTD simulations, geometric features in the finite-element IDE and the importance of convergence testing and simulation performance.