activity
20182023
most citedMapping the global design space of nanophotonic components using machine learning pattern recognition

151 citations · 192 across the 6 of their papers we have counts for

collaborators

6 papers

physics.optics2023

Perfectly vertical silicon metamaterial grating couplers with large segmentation periods up to 650 nm

Jianhao Zhang, Daniele Melati, Yuri Grinberg +7

Perfectly vertical grating couplers leveraging metamaterials can achieve both high coupling efficiency and minimal back reflection. The fabricability of these designs, with segment…

physics.optics2023

Optical wavefront phase-tilt measurement using Si-photonic waveguide grating couplers

Siegfried Janz, Dan-Xia Xu, Yuri Grinberg +5

Silicon photonic wavefront phase-tilt sensors for wavefront monitoring using surface coupling grating arrays are demonstrated. The first design employs the intrinsic angle dependen…

cs.LG2023

Improving Fabrication Fidelity of Integrated Nanophotonic Devices Using Deep Learning

Dusan Gostimirovic, Yuri Grinberg, Dan-Xia Xu +1

Next-generation integrated nanophotonic device designs leverage advanced optimization techniques such as inverse design and topology optimization which achieve high performance and…

cs.LG2022★ 2 cited

PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes

Muhammad Al-Digeil, Yuri Grinberg, Daniele Melati3 +5

Autoencoders (AE) provide a useful method for nonlinear dimensionality reduction but are ill-suited for low data regimes. Conversely, Principal Component Analysis (PCA) is data-eff…

physics.optics2020★ 39 cited

Design of Compact and Efficient Silicon Photonic Micro Antennas with Perfectly Vertical Emission

Daniele Melati, Mohsen Kamandar Dezfouli, Yuri Grinberg +5

Compact and efficient optical antennas are fundamental components for many applications, including high-density fiber-chip coupling and optical phased arrays. Here we present the d…

physics.app-ph2018★ 151 cited

Mapping the global design space of nanophotonic components using machine learning pattern recognition

Daniele Melati, Yuri Grinberg, Mohsen Kamandar Dezfouli +5

Nanophotonics finds ever broadening applications requiring complex component designs with a large number of parameters to be simultaneously optimized. Recent methodologies employin…