activity
20132021
most citedAperiodic bandgap structures for enhanced quantum two-photon sources

9 citations · 16 across the 4 of their papers we have counts for

collaborators

7 papers

physics.optics20217 cited

Hyperuniform scalar random fields for lensless, multispectral imaging systems

Yuyao Chen, Wesley A. Britton, Luca Dal Negro

We propose a novel framework for the systematic design of lensless imaging systems based on the hyperuniform random field solutions of nonlinear reaction-diffusion equations from p…

quant-ph20219 cited

Aperiodic bandgap structures for enhanced quantum two-photon sources

Luca Dal Negro, Yuyao Chen, Sean Gorsky +1

In this paper we propose a novel approach to enhance the efficiency of the two-photon spontaneous emission process that is driven by the multifractal optical mode density of photon…

physics.optics2021

Wave transport and localization in prime number landscapes

Luca Dal Negro, David Taylor Henderson, Fabrizio Sgrignuoli

In this paper, we study the wave transport and localization properties of novel aperiodic structures that manifest the intrinsic complexity of prime number distributions in imagina…

cond-mat.mes-hall2020

Angular dependence and absorption properties of the anapolemode of Si nano-disks

Lucia Fornasari, Marco Passoni, Franco Marabelli +3

The polarization- and angle- resolved optical response of the anapole mode in silicon nano-disks array have been experimentally and theoretically investigated. The good agreement b…

physics.optics2020

Phase-modulated axilenses as ultra-compact spectroscopic tools

Wesley A. Britton, Yuyao Chen, Fabrizio Sgrignuoli +1

We design and characterize phase-modulated, ultra-compact, silicon-based axilens devices that combine efficient point focusing and grating selectivity within scalable 4-level phase…

physics.comp-ph2019

Physics-informed neural networks for inverse problems in nano-optics and metamaterials

Yuyao Chen, Lu Lu, George Em Karniadakis +1

In this paper we employ the emerging paradigm of physics-informed neural networks (PINNs) for the solution of representative inverse scattering problems in photonic metamaterials a…