Recent advancements in computational inverse-design approaches—algorithmic
techniques for discovering optical structures based on desired functional characteristics …

Silicon Photonics technology is rapidly maturing as a platform for larger‐scale photonic
circuits. As a result, the associated design methodologies are also evolving from component …

Data inconsistency leads to a slow training process when deep neural networks are used for
the inverse design of photonic devices, an issue that arises from the fundamental property of …

Optical metasurfaces are planar arrangements of subwavelength meta-atoms that
implement a wide range of transformations on incident light. The design of efficient …

In contrast to designing nanophotonic devices by tuning a handful of device parameters, we
have developed a computational method which utilizes the full parameter space to design …

We present a photonics topology optimization (TO) package capable of addressing a wide
range of practical photonics design problems, incorporating robustness and manufacturing …

Complex nanophotonic structures hold the potential to deliver exquisitely tailored optical
responses for a range of applications. Metal–insulator–metal (MIM) metasurfaces arranged …

We perform full 3D topology optimization (in which “every voxel” of the unit cell is a degree of
freedom) of photonic-crystal structures in order to find optimal omnidirectional band gaps for …

Realization of integrated quantum photonics is a key step toward scalable quantum
applications such as quantum computing, sensing, information processing, and quantum …

We present full-Maxwell topology-optimization design of a single-piece multilayer metalens,
about 10 wavelengths λ in thickness, which simultaneously focuses over a 60 angular range …