15 citations · 19 across the 4 of their papers we have counts for
4 papers
Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram
Xiaogang Yang, Dawit Hailu, Vojtěch Kulvait +8
X-ray phase contrast imaging significantly improves the visualization of structures with weak or uniform absorption, broadening its applications across a wide range of scientific d…
What is missing in autonomous discovery: Open challenges for the community
Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird +16
Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and advanced computing to accelerate scientific discovery. The promise of this field has give…
Machine learning enabling high-throughput and remote operations at large-scale user facilities
Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel +3
Imaging, scattering, and spectroscopy are fundamental in understanding and discovering new functional materials. Contemporary innovations in automation and experimental techniques…
High-Performance Multi-Mode Ptychography Reconstruction on Distributed GPUs
Zhihua Dong, Yao-Lung L. Fang, Xiaojing Huang +6
Ptychography is an emerging imaging technique that is able to provide wavelength-limited spatial resolution from specimen with extended lateral dimensions. As a scanning microscopy…