Nanowire design by deep learning for energy efficient photonic technologies

This work describes our vision and proposal for the design of next generation photonic devices based on custom-designed semiconductor nanowires (NWs). The integration of multi-million-atom electronic structure and optical simulations with the supervised machine learning models will pave the way for transformative NW-based technologies, offering opportunities for the next generation energy-efficient greener photonics.