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https://github.com/chenle02/simulations_on_some_surface_growth_models
This repo contains some simulations for some surface growth models. It comes out of a final exam project for Math7820 Fall 2023 at Auburn.
https://github.com/chenle02/simulations_on_some_surface_growth_models
growth-models mathematics physics random research
Last synced: 8 days ago
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This repo contains some simulations for some surface growth models. It comes out of a final exam project for Math7820 Fall 2023 at Auburn.
- Host: GitHub
- URL: https://github.com/chenle02/simulations_on_some_surface_growth_models
- Owner: chenle02
- License: mit
- Created: 2023-11-15T02:38:10.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-16T18:55:48.000Z (10 months ago)
- Last Synced: 2025-01-15T14:50:30.324Z (22 days ago)
- Topics: growth-models, mathematics, physics, random, research
- Language: TeX
- Homepage: https://simulations-on-some-surface-growth-models.readthedocs.io/main/
- Size: 386 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
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# Simulations on Some Surface Growth Models
This repository contains simulations for various surface growth models,
developed initially as a final exam project for Math-7820 (Applied Stochastic
Processes I), Fall 2023 at Auburn University. It was further expanded as a
course project for Math-7830 (Applied Stochastic Processes II), Spring 2024.
More information about the courses can be found here: [Math-7820 Fall
2023](http://webhome.auburn.edu/~lzc0090/teaching/2023_Fall_Math7820/).
These simulations provide insights into the dynamics and characteristics of
surface growth processes, inspired by theoretical models and real-world
applications.
## Features
- Comprehensive simulations of different surface growth models.
- Easy-to-use interface for conducting and analyzing simulations.
- Detailed documentation for understanding and extending the simulations.
## Install
To get started with these simulations, you can install the package using pip:
```bash
pip install tetris-ballistic
```
Pypi link: [here](https://pypi.org/project/tetris-ballistic/).
## Sample Usage
To understand how to utilize this package, refer to the [tests](./tests) folder, which contains examples of potential usage within Python code.
Here are some simulations [examples](examples.md)
## Documentation
For detailed information about the package and its functionalities, visit our [Read the Docs](https://simulations-on-some-surface-growth-models.readthedocs.io/main/) page.
## How to Contribute
Contributions to this project are welcome! To contribute, please:
1. Fork the repository.
2. Create a new branch for your feature.
3. Add your changes and commit them.
4. Push to the branch.
5. Create a new pull request.
## References
1. Le Chen's Graduate Student Seminar talk on surface growth models: [here](https://github.com/chenle02/Graduate_Student_Seminars_by_Le_Chen/blob/main/2023-11-01/readme.md).
2. Barabási and Stanley, ''Fractal Concepts in Surface Growth'', Cambridge University Press, 1995.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Contact
For any queries or further discussion, feel free to contact us at
- Le Chen: [[email protected]] or [[email protected]].
- Ian Ruau: [[email protected]].
- Mauricio Montes: [[email protected]].