https://github.com/andrescdo/physai
PhysAI is an open-source AI project that aims to link quantum mechanics and general relativity by generating, testing, and improving physical equations. It leverages machine learning, integrates with existing research, generates LaTeX documents, and encourages collaborative learning. It relies on community-driven contributions to improve accuracy.
https://github.com/andrescdo/physai
ai physics
Last synced: about 1 year ago
JSON representation
PhysAI is an open-source AI project that aims to link quantum mechanics and general relativity by generating, testing, and improving physical equations. It leverages machine learning, integrates with existing research, generates LaTeX documents, and encourages collaborative learning. It relies on community-driven contributions to improve accuracy.
- Host: GitHub
- URL: https://github.com/andrescdo/physai
- Owner: AndresCdo
- License: mit
- Created: 2023-04-17T10:46:34.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-06-08T14:29:33.000Z (about 2 years ago)
- Last Synced: 2025-04-28T06:36:31.933Z (about 1 year ago)
- Topics: ai, physics
- Language: Python
- Homepage:
- Size: 101 KB
- Stars: 13
- Watchers: 1
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PhysAI
PhysAI is an open-source project aimed at developing an AI system that generates, tests, and validates physical equations, with a particular focus on linking quantum mechanics and general relativity. By leveraging machine learning algorithms and integrating them with existing research, PhysAI aims to create accurate and reliable equations that can explain physical phenomena.
## Features
- Data collection and preprocessing from experiments, observations, and simulations
- AI-driven generation and improvement of physical equations
- Equation verification through comparison with experimental results and other data sources
- Collaborative learning platform that encourages contributions from diverse scientific fields
- LaTeX integration for generating professional, accessible documents
- Robust testing and continuous integration
## Getting Started
### Prerequisites
- Python 3.7+
- LaTeX distribution (e.g. [TeX Live](https://www.tug.org/texlive/))
### Installation
1. Clone the repository
2. Install the required Python packages
```shell
pip install -r requirements.txt
```
3. Install the required LaTeX packages
```shell
tlmgr install $(cat tex/requirements.txt)
```
4. Install the PhysAI package
```shell
python setup.py install
```
### Usage
You can find the User Guide [here](https://github.com/AndresCdo/PhysAI/blob/master/docs/user_guide.md).
## Contributing
PhysAI is currently in the early stages of development. If you are interested in contributing feel free to clone the repository and submit a pull request. If you have any questions or suggestions, please open an issue.
## License
This project is licensed under the MIT License - see the [LICENSE](https://github.com/AndresCdo/PhysAI/blob/master/LICENSE) file for details.