Inverse design of waveguide crossing

Using parametric optimization (PO), and python interoperability design a silicon-on-insulator waveguide crossing in varFDTD 2.5D and 3D FDTD to rapidly converge on a solution.  This optimization algorithm is based on the adjoint method, and yields optimal solution in just a few iterations compared to other schemes such as particle swarm Więcej…

Inverse design of y-branch

Use the built-in parametric optimization (PO) method for inverse design of a silicon-on-insulator Y-branch to achieve the maximum broadband transmission. The varFDTD 2.5D solver now supports this technique allowing for realistic material models and monolithic planar devices. The adjoint method is the basis for the efficient optimization algorithm which significantly Więcej…

Y branch optimization using particle swarm algorithm

Component optimization is a key step of any design process striving to develop high-performance photonic devices. This silicon on insulator Y-branch example demonstrates a general component shape parametrization method that is suitable for an arbitrary optimization routine. The algorithm in this example is Lumerical’s built in particle swarm optimization (PSO) Więcej…

Inverse design of grating coupler

Inversely design a silicon-on-insulator grating coupler using the built-in parametrized geometry optimization module (PO) for FDTD. Compared to other optimization methods such as particle swarm optimization (PSO), this optimization algorithm enables obtaining the best solution in just a few iterations. In this example, the etch depth will be fixed at Więcej…