Artificial intelligence-assisted chiral nanophotonic designs

Chiral nanostructures can enhance the weak inherent chiral effects of biomolecules and highlight important roles in detection. However, design is challenged by extensive theoretical simulations explorative experiments. Recently, Zheyu Fang’s group proposed a nanostructure method based on reinforcement learning, which find out metallic with sharp peak circular dichroism spectra detection signals. This work envisions powerful artificial intelligence nanophotonic designs.