Accelerating the design and development of engineered photonic materials based on deep learning
Over the past decades, we have witnessed tremendous progress and success in engineered photonic materials, including photonic crystals, plasmonic nanostructures, and metamaterials. For instance, by tailoring the geometry of the building blocks of metamaterials and engineering their spatial distribution, we can control the amplitude, polarization state, phase, and trajectory of light in an almost arbitrary manner [1,2].
