494 citations · 1.8k across the 31 of their papers we have counts for
4 papers · 1 filter
Polarizabilities of complex individual dielectric or plasmonic nanostructures
Adelin Patoux, Clément Majorel, Peter R. Wiecha +4
When the sizes of photonic nanoparticles are much smaller than the excitation wavelength, their optical response can be efficiently described with a series of polarizability tensor…
Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures
Peter R. Wiecha, Otto L. Muskens
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, general p…
Design of plasmonic directional antennas via evolutionary optimization
Peter R. Wiecha, Clément Majorel, Christian Girard +4
We demonstrate inverse design of plasmonic nanoantennas for directional light scattering. Our method is based on a combination of full-field electrodynamical simulations via the Gr…
Deep Learning Enabled Real Time Speckle Recognition and Hyperspectral Imaging using a Multimode Fiber Array
Ulas Kürüm, P. R. Wiecha, Rebecca French +1
We demonstrate the use of deep learning for fast spectral deconstruction of speckle patterns. The artificial neural network can be effectively trained using numerically constructed…