activity
20162026
most citedReal-time coherent diffraction inversion using deep generative networks

119 citations · 392 across the 30 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

physics.comp-ph2022★ 4 cited

Multislice forward modeling of Coherent Surface Scattering Imaging on surface and interfacial structures

Peco Myint, Miaoqi Chu, Ashish Tripathi +6

To study nanostructures on substrates, surface-sensitive reflection-geometry scattering techniques such as grazing incident small angle x-ray scattering are commonly used to yield…

cs.LG2022★ 4 cited

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…

physics.ins-det2022★ 13 cited

A lightweight, user-configurable detector ASIC digital architecture with on-chip data compression for MHz X-ray coherent diffraction imaging

Sebastian Strempfer, Tao Zhou, Kazutomo Yoshii +6

Today, most X-ray pixel detectors used at light sources transmit raw pixel data off the detector ASIC. With the availability of more advanced ASIC technology nodes for scientific a…

cond-mat.mtrl-sci2022★ 2 cited

CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment

Suvo Banik, Debdas Dhabal, Henry Chan +4

Machine learning models and applications in materials design and discovery typically involve the use of feature representations or "descriptors" followed by a learning algorithm th…

cond-mat.mtrl-sci2022★ 8 cited

X-ray Nano-imaging of Defects in Thin Film Catalysts via Cluster Analysis

Aileen Luo, Oleg Yu. Gorobtsov, Jocienne N. Nelson +9

Functional properties of transition-metal oxides strongly depend on crystallographic defects. In transition-metal-oxide electrocatalysts such as SrIrO3 (SIO), crystallographic latt…

eess.IV2022★ 2 cited

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…