Luzie Helfmann

TL;DR: In this paper, transition path theory is used to infer reactive pathways of floating marine debris trajectories, connecting pollution sources along coastlines with garbage patches of varied strengths, and unveiling reactive pollution routes represent alternative targets for ocean cleanup efforts.

TL;DR: A new agent-based model for the spreading of innovations in the ancient world that is governed by human movements is presented and a novel stochastic simulation approach is proposed to produce spatio-temporal realizations of the spreading process that are instructive for studying its dynamical properties and exploring how different influences affect its speed and spatial evolution.

TL;DR: Generalizations of TPT are derived that remove the requirements of stationarity and of the ergodic limit, and provide this powerful tool for the analysis of other dynamical scenarios: periodically forced dynamics and time-dependent finite-time systems.

TL;DR: In this paper, a reduced model in terms of stochastic PDEs is presented to describe the evolution of agent number densities for large populations, where finite element discretization is used to ensure efficient simulation and serve as a regularization of the SPDE.

TL;DR: TopoStats as mentioned in this paper is a Python toolkit for automated editing and analysis of Atomic Force Microscopy images, which can identify and trace a range of molecules within AFM images, finding, on average, ~90% of all individual molecules and molecular assemblies within a wide field of view.