6 citations · 8 across the 22 of their papers we have counts for
6 papers · 1 filter
Pty-Chi: A PyTorch-based modern ptychographic data analysis package
Ming Du, Hanna Ruth, Steven Henke +11
Ptychography has become an indispensable tool for high-resolution, non-destructive imaging using coherent light sources. The processing of ptychographic data critically depends on…
Fidelity-preserving enhancement of ptychography with foundational text-to-image models
Ming Du, Volker Rose, Junjing Deng +3
Ptychographic phase retrieval enables high-resolution imaging of complex samples but often suffers from artifacts such as grid pathology and multislice crosstalk, which degrade rec…
Operating advanced scientific instruments with AI agents that learn on the job
Aikaterini Vriza, Michael H. Prince, Tao Zhou +2
Advanced scientific user facilities, such as next generation X-ray light sources and self-driving laboratories, are revolutionizing scientific discovery by automating routine tasks…
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…
Demonstration of an AI-driven workflow for dynamic x-ray spectroscopy
Ming Du, Mark Wolfman, Chengjun Sun +2
X-ray absorption near edge structure (XANES) spectroscopy is a powerful technique for characterizing the chemical state and symmetry of individual elements within materials, but re…
Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance
Refik Mert Cam, Junjing Deng, Rajkumar Kettimuthu +2
Ptychography is a data-intensive computational imaging technique that achieves high spatial resolution over large fields of view. The technique involves scanning a coherent beam ac…