64 citations · 64 across the 3 of their papers we have counts for
3 papers
A differentiable machine learning small-angle X-ray scattering analysis framework for structure elucidation of lipid nanoparticles
Maria Bånkestad, Sandra Barman, Magnus Röding +11
Lipid nanoparticles (LNPs) are efficient delivery systems for negatively charged nucleic acids. Their multi-component architecture yields a core-shell structure. Small-angle X-ray…
Predicting permeability via statistical learning on higher-order microstructural information
Magnus Röding, Zheng Ma, Salvatore Torquato
Quantitative structure-property relationships are crucial for the understanding and prediction of the physical properties of complex materials. For fluid flow in porous materials,…
Estimation of mass thickness response of embedded aggregated silica nanospheres from high angle annular dark-field scanning transmission electron micrographs
Matias Nordin, Christoffer Abrahamsson, Charlotte Hamngren Blomqvist +4
In this study we investigate the functional behavior of the intensity in high-angle annular dark field (HAADF) scanning transmission electron micrograph (STEM) images. The model ma…