4 citations · 6 across the 7 of their papers we have counts for
7 papers
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)…
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities
Hongwei Chen, Sathya R. Chitturi, Rajan Plumley +22
The advent of next-generation X-ray free electron lasers will be capable of delivering X-rays at a repetition rate approaching 1 MHz continuously. This will require the development…
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography
Robert Underwood, Chun Yoon, Ali Gok +2
Crystallography is the leading technique to study atomic structures of proteins and produces enormous volumes of information that can place strains on the storage and data transfer…
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval
Zhengchun Liu, Ahsan Ali, Peter Kenesei +11
Extremely high data rates at modern synchrotron and X-ray free-electron laser light source beamlines motivate the use of machine learning methods for data reduction, feature detect…