Saugat Kandel
Saugat Kandel
Software Engineer II, Chan Zuckerberg Imaging Institute
Verified email at
Cited by
Cited by
Observation of Dirac monopoles in a synthetic magnetic field
MW Ray, E Ruokokoski, S Kandel, M Möttönen, DS Hall
Nature 505 (7485), 657-660, 2014
Using automatic differentiation as a general framework for ptychographic reconstruction
S Kandel, S Maddali, M Allain, SO Hruszkewycz, C Jacobsen, ...
Optics express 27 (13), 18653-18672, 2019
Three dimensions, two microscopes, one code: Automatic differentiation for x-ray nanotomography beyond the depth of focus limit
M Du, YSG Nashed, S Kandel, D Gürsoy, C Jacobsen
Science advances 6 (13), eaay3700, 2020
Rapid 3D nanoscale coherent imaging via physics-aware deep learning
H Chan, YSG Nashed, S Kandel, SO Hruszkewycz, ...
Applied Physics Reviews 8 (2), 2021
Adorym: A multi-platform generic X-ray image reconstruction framework based on automatic differentiation
M Du, S Kandel, J Deng, X Huang, A Demortiere, TT Nguyen, R Tucoulou, ...
Optics express 29 (7), 10000-10035, 2021
Efficient ptychographic phase retrieval via a matrix-free Levenberg-Marquardt algorithm
S Kandel, S Maddali, YSG Nashed, SO Hruszkewycz, C Jacobsen, ...
Optics Express 29 (15), 23019-23055, 2021
GneimoSim: A modular internal coordinates molecular dynamics simulation package
AB Larsen, JR Wagner, S Kandel, R Salomon‐Ferrer, N Vaidehi, A Jain
Journal of computational chemistry 35 (31), 2245-2255, 2014
Fixman compensating potential for general branched molecules
A Jain, S Kandel, J Wagner, A Larsen, N Vaidehi
The Journal of Chemical Physics 139 (24), 2013
Deep learning at the edge enables real-time streaming ptychographic imaging
AV Babu, T Zhou, S Kandel, T Bicer, Z Liu, W Judge, DJ Ching, Y Jiang, ...
Nature Communications 14 (1), 7059, 2023
Overcoming potential energy distortions in constrained internal coordinate molecular dynamics simulations
S Kandel, R Salomon-Ferrer, AB Larsen, A Jain, N Vaidehi
The Journal of Chemical Physics 144 (4), 2016
M ott onen, M. and Hall, DS\Observation of Dirac monopoles in a synthetic magnetic eld
MW Ray, E Ruokokoski, S Kandel
Nature 505, 657-660, 2014
Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy
S Kandel, T Zhou, AV Babu, Z Di, X Li, X Ma, M Holt, A Miceli, C Phatak, ...
Nature Communications 14 (1), 5501, 2023
Using automatic differentiation for coherent diffractive imaging applications
S Kandel
Northwestern University, 2021
AI-assisted automated workflow for real-time X-ray ptychography data analysis via federated resources
AV Babu, T Bicer, S Kandel, T Zhou, DJ Ching, S Henke, S Veseli, ...
arXiv preprint arXiv:2304.04297, 2023
Learning phase retrieval with backpropagation
YSG Nashed, S Kandel, M Du, C Jacobsen
Microscopy and Microanalysis 25 (S2), 62-63, 2019
AutoFocus: AI-driven alignment of nanofocusing X-ray mirror systems
L Rebuffi, S Kandel, X Shi, R Zhang, RJ Harder, W Cha, MJ Highland, ...
Optics Express 31 (24), 39514-39527, 2023
Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization
S Maddali, TD Frazer, N Delegan, KJ Harmon, SE Sullivan, M Allain, ...
npj Computational Materials 9 (1), 77, 2023
GNEIMO-Fixman: An Accurate Torsional Molecular Dynamics Simulation Method for Studying Biomolecular Dynamics
S Kandel, AB Larsen, JE Wagner, A Jain, N Vaidehi
Biophysical Journal 106 (2), 404a, 2014
Seeking a Dirac Monopole in a Spinor Condensate
S Kandel
Amherst College, 2012
Imaging extended single crystal lattice distortion fields with multi-peak Bragg ptychography
S Kandel, S Maddali, M Allain, X Huang, YSG Nashed, C Jacobsen, ...
arXiv preprint arXiv:2312.14907, 2023
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