activity
20202022
most citedUnsupervised learning approaches to characterize heterogeneous samples using X-ray single particle imaging

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2022

Holographic single particle imaging for weakly scattering, heterogeneous nanoscale objects

Abhishek Mall, Kartik Ayyer

Single particle imaging (SPI) at X-ray free electron lasers (XFELs) is a technique to determine the 3D structure of nanoscale objects like biomolecules from a large number of diffr…

eess.IV20211 cited

Unsupervised learning approaches to characterize heterogeneous samples using X-ray single particle imaging

Yulong Zhuang, Salah Awel, Anton Barty +39

One of the outstanding analytical problems in X-ray single particle imaging (SPI) is the classification of structural heterogeneity, which is especially difficult given the low sig…

physics.optics2020

Mid infrared polarization engineering via sub-wavelength biaxial hyperbolic van der Waals crystals

Saurabh Dixit, Nihar Ranjan Sahoo, Abhishek Mall +1

Recently, in-plane biaxial hyperbolicity has been observed in -MoO --a van der Waal crystal-- in the mid-infrared frequency regime. Here, we present a comprehensive theore…

physics.optics2020

A Cyclical Deep Learning Based Framework For Simultaneous Inverse and Forward design of Nanophotonic Metasurfaces

Abhishek Mall, Abhijeet Patil, Amit Sethi +1

The conventional approach to nanophotonic metasurface design and optimization for a targeted electromagnetic response involves exploring large geometry and material spaces, which i…

physics.optics2020

Fast Design of Plasmonic Metasurfaces Enabled by Deep Learning

Abhishek Mall, Abhijeet Patil, Dipesh Tamboli +2

Metasurfaces is an emerging field that enables the manipulation of light by an ultra-thin structure composed of sub-wavelength antennae and fulfills an important requirement for mi…