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Publication Highlights

https://www.nature.com/articles/s41467-022-34305-6

Vorgestellt: Bayesian deep learning for error estimation in the analysis of anomalous diffusion

We augment recently proposed machine-learning techniques for decoding anomalous-diffusion data to include an uncertainty estimate in addition to the predicted output.

https://pubs.rsc.org/en/content/articlehtml/2020/cp/d0cp03849k
https://pubs.rsc.org/en/content/articlehtml/2020/cp/d0cp03849k

Im Fokus: In-plane diffusion of a doxorubicin drug molecule

The diffusion of doxorubicin drug molecules in silica nanoslits is non-Gaussian, intermittent and anticorrelated; Article in Phys. Chem. Chem. Phys.

https://link.springer.com/article/10.1007/s11538-020-00834-8
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Im Fokus: Modeling COVID-19

Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics. R.Engbert, M.Rabe, R. Kliegl und S. Reich, Bull Math Biol 83, 1 (2021).