59 citations · 59 across the 5 of their papers we have counts for
5 papers
AlphaDiffract: Automated Crystallographic Analysis of Powder X-ray Diffraction Data
Nina Andrejevic, Ming Du, Hemant Sharma +6
Materials identification and structural understanding from powder X-ray diffraction (PXRD) data is a long-standing challenge in materials science, fundamental to discovering and ch…
DONUT: Physics-aware Machine Learning for Real-time X-ray Nanodiffraction Analysis
Aileen Luo, Tao Zhou, Ming Du +3
Coherent X-ray scattering techniques are critical for investigating the fundamental structural properties of materials at the nanoscale. While advancements have made these experime…
Deep Learning of Structural Morphology Imaged by Scanning X-ray Diffraction Microscopy
Aileen Luo, Tao Zhou, Martin V. Holt +2
Scanning X-ray nanodiffraction microscopy is a powerful technique for spatially resolving nanoscale structural morphologies by diffraction contrast. One of the critical challenges…
X-ray Nano-imaging of a Heterogeneous Structural Phase Transition in V2O3
Ziming Shao, Aileen Luo, Eti Barazani +5
Controlling the Mott transition through strain engineering is crucial for advancing the development and application of memristive and neuromorphic computing devices. Yet, Mott insu…
Absence of Charge Density Wave Order in the Infinite Layer Nickelates
C. T. Parzyck, N. K. Gupta, Y. Wu +16
A hallmark of many unconventional superconductors is the presence of many-body interactions which give rise to broken symmetry states intertwined with superconductivity. Recent res…