Adjoint shape optimization applied to electromagnetic design
Christopher Lalau-Keraly(University of California, Berkeley), Samarth Bhargava(University of California, Berkeley), Owen D. Miller(Massachusetts Institute of Technology), Eli Yablonovitch(University of California, Berkeley)
Cited by 714Open Access
Abstract
We present an adjoint-based optimization for electromagnetic design. It embeds commercial Maxwell solvers within a steepest-descent inverse-design optimization algorithm. The adjoint approach calculates shape derivatives at all points in space, but requires only two "forward" simulations. Geometrical shape parameterization is by the level set method. Our adjoint design optimization is applied to a Silicon photonics Y-junction splitter that had previously been investigated by stochastic methods. Owing to the speed of calculating shape derivatives within the adjoint method, convergence is much faster, within a larger design space. This is an extremely efficient method for the design of complex electromagnetic components.