121 citations · 272 across the 8 of their papers we have counts for
8 papers
Resonant Fully dielectric metasurfaces for ultrafast Terahertz pulse generation
Luke Peters, Davide Rocco, Luana Olivieri +11
Metasurfaces represent a new frontier in materials science paving for unprecedented methods of controlling electromagnetic waves, with a range of applications spanning from sensing…
Nonlinear Nanoresonators for Bell State Generation
Maximilian A. Weissflog, Romain Dezert, Vincent Vinel +6
Entangled photon states are a fundamental resource for optical quantum technologies and investigating the fundamental predictions of quantum mechanics. Up to now such states are ma…
Programming Nonlinear Propagation for Efficient Optical Learning Machines
Ilker Oguz, Jih-Liang Hsieh, Niyazi Ulas Dinc +5
The ever-increasing demand for processing data with larger machine learning models requires more efficient hardware solutions due to limitations such as power dissipation and scala…
Predicting nonlinear optical scattering with physics-driven neural networks
Carlo Gigli, Amirhossein Saba, Ahmed Bassam Ayoub +1
Deep neural networks trained on physical losses are emerging as promising surrogates of nonlinear numerical solvers. These tools can predict solutions of Maxwell's equations and co…
Physics-informed neural networks for diffraction tomography
Amirhossein Saba, Carlo Gigli, Ahmed B. Ayoub +1
We propose a physics-informed neural network as the forward model for tomographic reconstructions of biological samples. We demonstrate that by training this network with the Helmh…
Optical Diffraction Tomography based on 3D Physics-Inspired Neural Network (PINN)
Ahmed B. Ayoub, Amirhossein Saba, Carlo Gigli +1
Optical diffraction tomography (ODT) is an emerging 3D imaging technique that is used for the 3D reconstruction of the refractive index (RI) for semi-transparent samples. Various i…
Fundamental limitations of Huygens metasurfaces for optical beam shaping
Carlo Gigli, Qitong Li, Pierre Chavel +3
Optical dielectric metasurfaces composed of arrayed nanostructures are expected to enable arbitrary spatial control of incident wavefronts with subwavelength spatial resolution. Fo…
Quasinormal-mode modeling and design in nonlinear nano-optics
Carlo Gigli, Tong Wu, Giuseppe Marino +3
Based on quasinormal-mode theory, we propose a novel approach enabling a deep analytical insight into the multi-parameter design and optimization of nonlinear photonic structures a…