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https://github.com/benmaier/difflimagg

Diffusion-limited aggregation

https://github.com/benmaier/difflimagg

Science Score: 13.0%

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    Low similarity (6.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Diffusion-limited aggregation

Basic Info
  • Host: GitHub
  • Owner: benmaier
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 31.3 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog Contributing License Code of conduct

README.md

DiffLimAgg

Diffusion-limited aggregation in 2D. Simulate, analyze, visualize.

```python import numpy as np import DiffLimAgg as dla from DiffLimAgg.anim import animate

walkers = dla.Walkers2D(N=50000, dt=0.01, box=[0,1,0,1], initialpositions='random', positionnoisecoefficient=0.0001, velocitynoisecoefficient=.0001, )

exp = dla.Experiment(walkers, walkerradius=0.3*np.sqrt(1/50000) )

animate(exp) ```

This generates sth like the following animation. Video compression kinda messed it up but somehow I like it.

https://user-images.githubusercontent.com/10728380/204252790-652efe63-30d5-4fdf-911f-7627dfc69ff4.mp4

Install

pip install ./DiffLimAgg

DiffLimAgg was developed and tested for

  • Python 3.6
  • Python 3.7
  • Python 3.8

So far, the package's functionality was tested on Mac OS X and CentOS only.

Dependencies

DiffLimAgg directly depends on the following packages which will be installed by pip during the installation process

  • numpy>=1.20
  • scipy>=1.9

License

This project is licensed under the MIT License. Note that this excludes any images/pictures/figures shown here or in the documentation.

Owner

  • Name: Benjamin F. Maier
  • Login: benmaier
  • Kind: user
  • Location: Copenhagen
  • Company: Technical University of Denmark

Postdoc @suneman 's, generative art, electronic music. DTU Compute & SODAS.

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Ben F. Maier b****r@g****m 7

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Dependencies

requirements.txt pypi
  • numpy >=1.17
setup.py pypi
  • numpy >=1.20
  • scipy >=1.9