BOUTAMI , Salim

We combine a statistical learning-based global optimization strategy with a high order 3D Discontinuous Galerkin Time-Domain (DGTD) solver to design a compact and highly efficient graded index photonic metalens. The metalens is composed of silicon (Si) strips of varying widths (in the transverse direction) and lengths (in the propagation...

We present rigorous modeling and optimal design for 3D graded index photonic lens at the telecommunication wavelnegth. Based on our numerical results, the efficiency of the optimized designs can reach 87%. In this work, we use a global optimization method based on statistical learning in order to enhance the efficiency of a graded index...