Dresden 2026 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 44: Poster: Active Matter, Soft Matter, and Fluids

DY 44.3: Poster

Mittwoch, 11. März 2026, 15:00–18:00, P5

AMEP: Analyzing Active and Soft Matter Simulations — •Kay-Robert Dormann¹, Lukas Hecht¹, Kai Luca Spanheimer², Aritra K. Mukhopadhyay¹, Mahdieh Ebrahimi¹, Suvendu Mandal¹, and Benno Liebchen¹ — ¹Institut für Physik kondensierter Materie, Technische Universität Darmstadt, Darmstadt, Germany — ²Institut für Theoretische Physik II, Heinrich-Heine-Universität, Düsseldorf, Germany

AMEP [1] is a Python library that focuses on the fast and user-friendly analysis of active and soft matter simulations. It can natively analyze data from molecular dynamics, Brownian dynamics, and continuum simulations from software such as LAMMPS, HOOMD-blue, and GROMACS. With a plethora of methods for calculating observables and visualizing results, AMEP is suitable for calculating complex observables equally for advanced studies of active and soft matter, as well as for beginners in the field. Computationally expensive methods are parallelized to run on any system from laptops and workstations to high-performance computing clusters.

The methods range from correlation functions and order parameters to cluster detection and coarse-graining methods. Due to the Python-based implementation, the methods can be easily extended and individualized. Information and examples are available at https://amepproject.de. AMEP can be installed via pip and conda.

[1] L. Hecht et al., Comput. Phys. Commun. 309, 109483 (2025).

Keywords: Python data analysis; Brownian simulations; Molecular dynamics simulations; Soft matter; Active matter