Metamaterials are artificial materials designed to exhibit effective material parameters that
go beyond those found in nature. Composed of unit cells with rich designability that are …

Metallic nanostructures now play an important role in many applications. In particular, for the
emerging fields of plasmonics and nanophotonics, the ability to engineer metals on …

Deep artificial neural networks are powerful tools with many possible applications in
nanophotonics. Here, we demonstrate how a deep neural network can be used as a fast …

Nanoscale photonic systems involve a broad variety of light–matter interaction regimes
beyond the diffraction limit and have opened the path for a variety of application …

Biosensing with nanoholes is one of the most promising applications of nanoplasmonic
devices. The sensor properties, however, are complex due to coupled resonances through …

There have been significant advancements in the field of surface-enhanced Raman
spectroscopy (SERS). Despite being an ultra-sensitive analytical technique, challenges …

Surface plasmon resonance sensors have found wide applications in optical sensing field
due to their excellent sensitivity to the slight refractive index change of surrounding medium …

Existing numerical electromagnetic (EM) solvers are usually computationally expensive,
time consuming, and memory demanding. Recent advances in deep learning (DL) …

Abstract pyGDM is a python toolkit for electro-dynamical simulations in nano-optics based
on the Green Dyadic Method (GDM). In contrast to most other coupled-dipole codes, pyGDM …

Abstract Development of polymer based mid-wavelength infrared (MWIR) optics has been
limited mainly due to high optical loss of organic polymers used in general optical …