A Dual Perspective On Inverse Design by Prof Sean Molesky

Sean Molesky

Prof Sean Molesky discussed how Lagrange duality heuristics for quadratically constrained quadratic optimization problems (QCQPs) can substantially lessen these knowledge gaps for a variety of common photonic design problems. As showcased by initial applications to topics including radiative emission from a dipolar current source and toy ``math-kernel’' field conversion objectives, I will also offer empirical evidence that such ``dual-solutions’' are capable of predicting the results of large-scale inverse methods within an order of magnitude in several settings.

Seminar Link: Picoelectrodynamics Theory Network - YouTube