119 citations · 392 across the 30 of their papers we have counts for
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High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming
Tao Zhou, Mathew Cherukara, Charudatta Phatak
Lorentz transmission electron microscopy is a unique characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materi…
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning
Henry Chan, Youssef S. G. Nashed, Saugat Kandel +4
Phase retrieval, the problem of recovering lost phase information from measured intensity alone, is an inverse problem that is widely faced in various imaging modalities ranging fr…
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…
Screening of Therapeutic Agents for COVID-19 using Machine Learning and Ensemble Docking Simulations
Rohit Batra, Henry Chan, Ganesh Kamath +3
The world has witnessed unprecedented human and economic loss from the COVID-19 disease, caused by the novel coronavirus SARS-CoV-2. Extensive research is being conducted across th…
BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit
Henry Chan, Badri Narayanan, Mathew Cherukara +4
The ever-increasing power of supercomputers coupled with highly scalable simulation codes have made molecular dynamics an indispensable tool in applications ranging from predictive…