28 citations · 79 across the 11 of their papers we have counts for
13 papers
Deep learning at the edge enables real-time streaming ptychographic imaging
Anakha V Babu, Tao Zhou, Saugat Kandel +15
Coherent microscopy techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from…
Real-time X-ray Phase-contrast Imaging Using SPINNet -- A Speckle-based Phase-contrast Imaging Neural Network
Zhi Qiao, Xianbo Shi, Yudong Yao +4
X-ray phase-contrast imaging has become indispensable for visualizing samples with low absorption contrast. In this regard, speckle-based techniques have shown significant advantag…
Proton distribution visualization in perovskite nickelate devices utilizing nanofocused X-rays
Ivan A. Zaluzhnyy, Peter O. Sprau, Richard Tran +17
We use a 30-nm x-ray beam to study the spatially resolved properties of a SmNiO-based nanodevice that is doped with protons. The x-ray absorption spectra supported by density-f…
Learning with Delayed Rewards -- A case study on inverse defect design in 2D materials
Suvo Banik, Troy D Loeffler, Rohit Batra +3
Defect dynamics in materials are of central importance to a broad range of technologies from catalysis to energy storage systems to microelectronics. Material functionality depends…
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 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…