4 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning
Zhantao Chen, Cong Wang, Mingye Gao +3
The development of X-ray Free Electron Lasers (XFELs) has opened numerous opportunities to probe atomic structure and ultrafast dynamics of various materials. Single Particle Imagi…
Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics
Zhantao Chen, Cheng Peng, Alexander N. Petsch +5
Advanced experimental measurements are crucial for driving theoretical developments and unveiling novel phenomena in condensed matter and material physics, which often suffer from…
PeakNet: An Autonomous Bragg Peak Finder with Deep Neural Networks
Cong Wang, Po-Nan Li, Jana Thayer +1
Serial crystallography at X-ray free electron laser (XFEL) and synchrotron facilities has experienced tremendous progress in recent times enabling novel scientific investigations i…
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples
Cong Wang, Eric Florin, Hsing-Yin Chang +2
With X-ray free-electron lasers (XFELs), it is possible to determine the three-dimensional structure of noncrystalline nanoscale particles using X-ray single-particle imaging (SPI)…