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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.

License: GNU General Public License v3.0

Jupyter Notebook 95.53% HTML 4.35% Python 0.11%
brownian-dynamics-simulation condensed-matter-physics

random-walk-simulation-to-study-anamolous-diffusion's Introduction

Installation

Requirements:

The only requirement is Python 3.8 or above
All used libraries are within the Python standard module
You don't need to install any extra module

Project details:

โญ To study a time-dependent viscoelastic fluid that can be modelled by Maxwell-Voigt type description.

alt text

We simulated Langevin equation (a Stochastic differential equation ) for this viscoelastic system-

๐Ÿ‘‰ $m\cdot \ddot x = -\eta(t)\cdot \dot x -\kappa(t)\cdot x + \delta(t)$ ;

๐Ÿ‘‰ where, $\delta(t)$ is Gaussian noise term

โญ System under study:

Take elasticity of the system: $\kappa (t),\ and$ viscosity of the system $\eta (t)$, defining the characteristic parameter of the system $\tau (t) \equiv \lambda (t) = \frac{\eta (t)}{\kappa (t)}$ ๐Ÿ‘‰ Material-1: Exponential ageing $\rightarrow \lambda (t) = \exp (t/t_0)$

๐Ÿ‘‰ Material-2: Power law ageing $\rightarrow \lambda (t) = (t/t_0)^m $

๐Ÿ‘‰ The phenomena of 'ageing' is studied in microrheology via the Brownian motion of tracer bead particles. Hence, we appropriately modelled the materials and simulated the tracer bead trajectory for relevant insight.

alt text alt text alt text

๐Ÿ‘‰ $\left< R^2 \right>\ \rightarrow\ mean\ sqaured\ displacement\ and,\ \ t, \xi \rightarrow\ simulation\ time$

๐Ÿ‘‰ ๐ŸŒฑ $My\ first\ humble\ contribution\ to\ Open-Source!!!$ ๐ŸŒฑ

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