Machine learning-accelerated small-angle X-ray scattering analysis of disordered two- and three-phase materials
Journal article, 2022
machine learning
Gaussian random field
regression
disordered material
small angle X-ray scattering
boosted trees
porous material
Author
Magnus Röding
Henan University of Chinese Medicine
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Piotr Tomaszewski
RISE Research Institutes of Sweden
Shun Yu
RISE Research Institutes of Sweden
M. Borg
RISE Research Institutes of Sweden
Jerk Rönnols
RISE Research Institutes of Sweden
Frontiers in Materials
22968016 (eISSN)
Vol. 9 956839Subject Categories
Computational Mathematics
Other Physics Topics
Probability Theory and Statistics
DOI
10.3389/fmats.2022.956839