activity
20182026
most citedFree-space optical neural network based on thermal atomic nonlinearity

97 citations · 159 across the 8 of their papers we have counts for

collaborators

9 papers

physics.optics2026

Asymmetric imaging: Reciprocity bounds and manifestations

Romil Audhkhasi, Anna Wirth-Singh, Rose Johnson +6

Recent demonstrations of unidirectional imaging using diffractive multilayers have brought a concept akin to optical isolation to imaging, yet the fundamental limits of such asymme…

physics.optics2023

Statistics dependent spectral properties of random arrays of particles

Romil Audhkhasi, Maksym Zhelyeznyakov, Steven Brunton +1

The ability to tailor the spectral response of photonic devices is paramount to the advancement of a broad range of applications. The vast design space offered by disordered optica…

physics.optics2023★ 3 cited

Quantitative Phase Imaging with a Metalens

Aamod Shanker, Johannes Froech, Saswata Mukherjee +3

Quantitative phase imaging (QPI) recovers the exact wavefront of light from the intensity measured by a camera. Topographical maps of translucent microscopic bodies can be extracte…

physics.optics2022★ 3 cited

Large area optimization of meta-lens via data-free machine learning

Maksym V. Zhelyeznyakov, Johannes E. Froch, Anna Wirth-Singh +4

Sub-wavelength diffractive optics meta-optics present a multi-scale optical system, where the behavior of constituent sub-wavelength scatterers, or meta-atoms, need to be modelled…

cs.ET2021★ 97 cited

Free-space optical neural network based on thermal atomic nonlinearity

Albert Ryou, James Whitehead, Maksym Zhelyeznyakov +4

As artificial neural networks (ANNs) continue to make strides in wide-ranging and diverse fields of technology, the search for more efficient hardware implementations beyond conven…

physics.optics2021

2D beam shaping via 1D spatial light modulation

James E. M. Whitehead, Albert Ryou, Shane Colburn +2

Many emerging reconfigurable optical systems are limited by routing complexity when producing dynamic, two-dimensional (2D) electric fields. Using a gradient-based inverse designed…

physics.optics2020

Deep learning to accelerate Maxwell's equations for inverse design of dielectric metasurfaces

Maksym V. Zhelyeznyakov, Steven L. Brunton, Arka Majumdar

The inverse design of optical metasurfaces is a rapidly emerging field that has already shown great promise in miniaturizing conventional optics as well as developing completely ne…

physics.optics2019

Design and Optimization of Ellipsoid Scatterer-based Metasurfaces via the Inverse T-Matrix Method

Maksym V. Zhelyeznyakov, Alan Zhan, Arka Majumdar

Large-area metasurfaces composed of discrete wavelength-scale scatterers present an extremely large number of degrees of freedom to engineer an optical element. These degrees of fr…

physics.optics2018★ 56 cited

The role of refractive index in metalens performance

Elyas Bayati, Alan Zhan, Shane Colburn +1

Sub-wavelength diffractive optics, commonly known as metasurfaces, have recently garnered significant attention for their ability to create ultra-thin flat lenses with extremely sh…