The Active Matter Evaluation Package (AMEP) - a Python library for the analysis of particle-based and continuum simulation data of soft and active matter systems

Agent-based simulation of social interaction (Social Force Model and Self-Propelled Brownian Particles)

Brownian dynamics simulation is very insightful to study the mechanical properties of soft condensed matter. In my MS project , I did such simulation to study the properties of time dependent viscoelastic medium like special paints and Laponite suspensions. We are modelling the system as suitable combination of spring and damper.

Numerical approximations for stochastic differential equations.

An attempt to reproduce the findings presented in ‘’Simulation of a Brownian particle in an optical trap’’, Giorgio Volpe et al., Am. J. Phys. 81, 224–230 (2013))

Materials developed to Computational Physics course.

This repository contains the software written for the manuscript "When velocity autocorrelations mirror force autocorrelations: Exact noise-cancellation in interacting Brownian systems" by A. Lüders, S. Mandal, and T. Franosch. The NC Algorithm [Mandal et al. PRL 2019] is implemented using the FACF.

Open-source Brownian Dynamics Simulator OBDS. Developed this to test some ideas for developing a BDS.

Python package for simulation and data analysis of interacting colloidal particle systems.

Integration of the overdamped Langevin equations for an active Brownian circle swimmer (ABC).