Metasurfaces are two-dimensional arrays of subwavelength optical antennas and have
possible applications of next-generation optical components such as ultrathin lenses, high …

This paper presents two tandemly stacked forward and inverse deep neural networks to
model and optimize cylindrical shaped transmissive meta-atoms for UV–Vis regime …

Metasurfaces are composed of a two-dimensional array of carefully engineered
subwavelength structures. They provide a novel compact alternative to conventional …

Machine learning (ML) has drawn tremendous interest for its capacity to extract useful
information that may be overlooked with conventional analysis techniques and for its …

Here, we present a new approach based on manifold learning for knowledge discovery and
inverse design with minimal complexity in photonic nanostructures. Our approach builds on …

Artificial intelligence (AI) is the most important new methodology in scientific research since
the adoption of quantum mechanics and it is providing exciting results in numerous fields of …

Computational modeling is a crucial approach in material-related research for discovering
new materials with superior properties. However, the high design flexibility in materials …

Plasmonic nanostructures are emerging as a promising avenue for nanophotonics due to
their extreme light and thermal confinement, ultrafast manipulation processes, and potential …

In order to accelerate the design process of electromagnetically induced transparency (EIT)
metasurface, a deep learning-based EIT metasurface design method is proposed, where the …

Electromagnetic environments are becoming increasingly complex and congested, creating
a growing challenge for systems that rely on electromagnetic waves for communication …