2 papers
cond-mat.mtrl-sci2023
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…
cs.LG2023
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)…