Neural operators have emerged as a powerful tool for solving partial differential equations in
the context of scientific machine learning. Here, we implement and train a modified Fourier …

Photonic devices based on silicon waveguides are essential to versatile high‐performance
and low‐cost photonic integrated systems. Extremely complex silicon photonic devices with …

Lithium niobate-on-insulator (LNOI) is an emerging photonic platform that exhibits favorable
material properties (such as low optical loss, strong nonlinearities, and stability) and enables …

The development and optimization of photonic devices and various other nanostructure
electromagnetic devices present a computationally intensive task. Much optimization relies …

In the last decades, nanostructures have unlocked myriads of functionalities in
nanophotonics by engineering light–matter interaction beyond what is possible with …

We present a novel device-design methodology that produces interferometrically robust
photonic integrated circuits on commercial foundry platforms. This new approach, which we …

Topological photonic crystals have received considerable attention for their ability to
manipulate and guide light in unique ways. They are typically designed by hand based on …

Density-based topology optimization is used to design large-scale, multi-layer grating
couplers that comply with commercial foundry fabrication constraints while simultaneously …

In this work, we present a reproducible suite of test problems for large-scale optimization
(“inverse design” and “topology optimization”) in photonics, where the prevalence of …

Nanophotonic structures have versatile applications including solar cells, anti-reflective
coatings, electromagnetic interference shielding, optical filters, and light emitting diodes. To …