Characterization-of-LNP-Drug-Delivery-Vehicles-by-Machine-Learning

For anybody interested in this project please feel free to read the project report.

Reference:

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[3] M. Röding, P. Tomaszewski, S. Yu, M. Borg, and J. Rönnols, “Machine learning-accelerated small-angle X-ray scattering analysis of disordered two- and three-phase materials,” Frontiers in Materials, vol. 9, p. 956839, 2022.

[4] SASView, “SasView documentation index: Corfunc technical documentation,” n.d., accessed: Mar. 2, 2025. [Online]. Available: https://www.sasview.org/docs/user/qtgui/Perspectives/Corfunc/corfunctechnical.html

[5] L. Kiss, J. Söderlund, G. Niklasson, and C. Granqvist, “The real origin of lognormal size distributions of nanoparticles in vapor growth processes,” Nanostructured Materials, vol. 12, no. 1–4, pp. 327–332, 1999.

[6] S. Sedlak, L. Bruetzel, and J. Lipfert, “Quantitative evaluation of statistical errors in small-angle X-ray scattering measurements,” Journal of Applied Crystallography, vol. 50, no. 2, pp. 621–630, Mar. 2017.