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.
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:
pip install tetris-ballistic
Pypi link: here.
Sample Usage
To understand how to utilize this package, refer to the tests folder, which contains examples of potential usage within Python code.
Here are some simulations examples
Documentation
For detailed information about the package and its functionalities, visit our Read the Docs page.
How to Contribute
Contributions to this project are welcome! To contribute, please:
- Fork the repository.
- Create a new branch for your feature.
- Add your changes and commit them.
- Push to the branch.
- Create a new pull request.
References
- Le Chen's Graduate Student Seminar talk on surface growth models: here.
- Barabási and Stanley, ''Fractal Concepts in Surface Growth'', Cambridge University Press, 1995.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contact
For any queries or further discussion, feel free to contact us at
- Le Chen: [chenle02@gmail.com] or [le.chen@auburn.edu].
- Ian Ruau: [ian.ruau@auburn.edu].
- Mauricio Montes: [mauricio.montes@auburn.edu].
Metadata
Release files for tetris-ballistic 1.2.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tetris_ballistic-1.2.6.tar.gz | 34.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tetris_ballistic-1.2.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 105.9 kB
Release files / tetris_ballistic-1.2.6.tar.gz
| Download URL | tetris_ballistic-1.2.6.tar.gz |
|---|---|
| Size | 34.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1ada46835bdb6d8dadf460a943605bcf4d9cd307aa4470a5036bf09409e2e5b3
|
|
BLAKE2b-256 checksum How to use checksums |
7fbb9c7d9f03b33dde509dc0bde9c17ca416912531df17d194b2e2612b144f54
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.18
|
Release files / tetris_ballistic-1.2.6-py3-none-any.whl
| Download URL | tetris_ballistic-1.2.6-py3-none-any.whl |
|---|---|
| Size | 71.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9a8b1ae1b39d105244023a3ed45cb3f0c965454ef327af994587f2018d2f9604
|
|
BLAKE2b-256 checksum How to use checksums |
79db8824836a15fbaead59dc6022c170b2e0127b0e2403eea715196fd5331616
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.18
|