activity
20182020
most citedUsing Automatic Differentiation as a General Framework for Ptychographic Reconstruction

85 citations · 86 across the 2 of their papers we have counts for

collaborators

5 papers

eess.IV20201 cited

Real-time sparse-sampled Ptychographic imaging through deep neural networks

Mathew J. Cherukara, Tao Zhou, Youssef Nashed +4

Ptychography has rapidly grown in the fields of X-ray and electron imaging for its unprecedented ability to achieve nano or atomic scale resolution while simultaneously retrieving…

eess.IV2019

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations

Wenbin He, Junpeng Wang, Hanqi Guo +5

We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ. In situ visualization, gene…

cond-mat.mtrl-sci2019

High-energy coherent X-ray diffraction microscopy of polycrystal grains: first steps towards a multi-scale approach

Siddharth Maddali, Jun-Sang Park, Hemant Sharma +7

We present proof-of-concept imaging measurements of a polycrystalline material that integrate the elements of conventional high-energy X-ray diffraction microscopy with coherent di…

eess.IV201985 cited

Using Automatic Differentiation as a General Framework for Ptychographic Reconstruction

Saugat Kandel, S. Maddali, Marc Allain +3

Coherent diffraction imaging methods enable imaging beyond lens-imposed resolution limits. In these methods, the object can be recovered by minimizing an error metric that quantifi…

cond-mat.mtrl-sci2018

Phase retrieval for Bragg coherent diffraction imaging at high X-ray energies

Siddharth Maddali, Marc Allain, Wonsuk Cha +6

Coherent X-ray beams with energies keV can potentially enable three-dimensional imaging of atomic lattice distortion fields within individual crystallites in bulk polycry…