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 …

We propose a three-dimensional freeform nanophotonic platform in which wavelength-scale
domains comprise basic geometric structures with explicitly defined dimensions, positions …

Numerical optimization for the inverse design of photonic structures is a tool that is providing
increasingly convincing results—even though the wave nature of problems in photonics …

We propose a method to design the exact phase profile of at least one metasurface in a
stigmatic singlet that can be made to implement a desired ray mapping. Following the …

We introduce an imaging system that can simultaneously record complete Mueller
polarization responses for a set of wavelength channels in a single image capture. The …

The past decade has witnessed the advances of artificial intelligence with various
applications in engineering. Recently, artificial neural network empowered inverse design …

Metasurfaces attracted extensive interests due to their outstanding ability to manipulate the
wavefront at a subwavelength scale. In this study, we demonstrated quasi-freeform …

The world has witnessed transformative advancements in photonics, encompassing a broad
range of applications from AR/VR glasses to LiDAR technology employed in self-driving …