High-Performance Metasurfaces Synthesized via Multi-Objective Optimization

Metasurfaces show extreme promise for realizing disruptive optical devices due to their ability to tailor reflection and transmission properties at a surface by exploiting the generalized form of Snell's law. Moreover, polarization-, angular-And frequency-dependent performances can also be engineered to achieve dispersive behaviors desired for a particular application. However, how one designs a metasurface that achieves high performances in several of these areas simultaneously is generally not clear. Therefore, synthesizing high-performance metasurfaces requires employing powerful optimization techniques in the inverse design process. To this end, state-of-The-Art multi-objective optimization algorithms offer the potential to realize metasurfaces that meet multiple design goals while also presenting the tradeoffs between competing objectives.