Bayesian inference of anisotropic 2D small-angle scattering from sparse measurement
Year: 2025
Type: article
Source: The Journal of Chemical Physics
DOI: 10.1063/5.0291081
Institutions: Oak Ridge National Laboratory, Center for Nanophase Materials Sciences, National Synchrotron Radiation Research Center, Institut Laue-Langevin, National Institute of Standards and Technology, NIST Center for Neutron Research, National Tsing Hua University, National Center for Theoretical Sciences, National Center for Theoretical Sciences, Physics Division
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: closed
Awards: Assistance Project for Processing Big Observational Data by Data Science — Collaborating with Artificial Intelligence for Image Reconstruction, Biomolecular Modeling, and Image Processing/Analysis on the Big Data Generated by Synchrotron Radiation( II ), G203625172, Investigate Microstructural and Mechanical Responses of Complex Soft Matter to External Stimuli and Thermodynamic Variations Using Scattering, Simulation, and Machine Learning( I ), G380138920, G4573907496, Assistance Project for Processing Big Observational Data by Data Science — Collaborating with Artificial Intelligence for Image Reconstruction, Biomolecular Modeling, and Image Processing/Analysis on the Big Data Generated by Synchrotron Radiation( I )
OpenAlex ID: W4415206352