On-Chip Optical Neural Morphic Computing
Spectrum Control of Light with Metasurface
The brain, unlike the von Neumann processors found in conventional computers, is very power efficient, extremely effective at certain computing tasks, and highly adaptable to novel situations and environments. Artificial Neural Networks(ANNWs)
Directional Control of Light
My second research interest is investigating how to control the apparent color of materials using all dielectric nanostructures, or the so-called Physical Colors.
Creating a nanoscale-material that can achieve light selection based purely on the angle of propagation is a long-standing scientific challenge. We tailored the overlap of the band gaps of multiple one-dimensional photonics crystals, each with a different periodicity, in such a way as to preserve the characteristic Brewster modes across a broadband spectrum. Our method enables transparency throughout the visible spectrum at one angle—the generalized Brewster angle—and reflection at every other viewing angle.