Recent years have witnessed promising artificial intelligence (AI) applications in many
disciplines, including optics, engineering, medicine, economics, and education. In particular …

The data-science revolution is poised to transform the way photonic systems are simulated
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …

The generation, manipulation, storage, and detection of single photons play a central role in
emerging photonic quantum information technology. Individual photons serve as flying …

In recent years, metasurfaces have emerged as revolutionary tools to manipulate the
behavior of light at the nanoscale. These devices consist of nanostructures defined within a …

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

Photonic inverse design concerns the problem of finding photonic structures with target
optical properties. However, traditional methods based on optimization algorithms are time …

Applying intelligence algorithms to conceive nanoscale meta-devices becomes a flourishing
and extremely active scientific topic over the past few years. Inverse design of functional …

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

Nanophotonic devices have enabled microscopic control of light with an unprecedented
spatial resolution by employing subwavelength optical elements that can strongly interact …

Bayesian optimization is known to be difficult to scale to high dimensions, because the
acquisition step requires solving a non-convex optimization problem in the same search …