The growing maturity of nanofabrication has ushered massive sophisticated optical
structures available on a photonic chip. The integration of subwavelength-structured …

Photonic devices play an increasingly important role in advancing physics and engineering.
Although improvements in nanofabrication and computational methods have driven …

Conventional human-driven methods face limitations in designing complex functional
metasurfaces. Inverse design is poised to empower metasurface research by embracing fast …

Recent work has shown how to embed differentiable optimization problems (that is,
problems whose solutions can be backpropagated through) as layers within deep learning …

We use inverse design to discover metalens structures that exhibit broadband, achromatic
focusing across low, moderate, and high numerical apertures. We show that standard unit …

This paper presents a computational nanophotonic design library for gradient-based
optimization called the Stanford Photonic INverse design Software (SPINS). Borrowing the …

It is safe to say that every invention that has changed the world has depended on materials.
At present, the demand for the development of materials and the invention or design of new …

Machine learning (ML) techniques, such as neural networks, have emerged as powerful
tools for the inverse design of nanophotonic structures. However, this innovative approach …

Nanophotonic devices with high densities are extremely attractive because they can
potentially merge photonics and electronics at the nanoscale. However, traditional …

Tunable metasurfaces have demonstrated the potential for dramatically enhanced
functionality for applications including sensing, ranging and imaging. Liquid crystals (LCs) …