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Brownian

Project funded by DFG. A jupyter-book that explores mearly a chunk of the field of nonlinear dynamics, specifically diffusion and random search in heterogeneous media. The book has various simulations for the stochastic process known as Brownian motion. The motion dynamics are simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. The book has chapters on Brownian search, Backbone problems, and Stochastic resetting.

Install / Use

/learn @zelenkastiot/Brownian
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Stohastic simulations for Brownian Motion

since 21' | Deutsche Forschungsgemeinschaft (DFG) <br> <br> Project: Diffusion and random search in heterogeneous media (pno. 452796171) <br> Project cordinator: PhD. Trifce Sandev <br> Research associates: Pece Trajanovski, Kiril Zelenkovski <br> Subject Area: Statistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics

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📬 Contact email: <a href="https://github.com/zelenkastiot"> @kzelenkovski@manu.edu.mk</a>

<br> <p align="center"> <img src="https://raw.githubusercontent.com/zelenelez/images/master/manu-logo.png" width=15%;></img> <br> Fall, 2021 </p>

Related Skills

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GitHub Stars7
CategoryProduct
Updated1y ago
Forks2

Languages

Jupyter Notebook

Security Score

75/100

Audited on Nov 1, 2024

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