---
title: "POSEIDON Multiscience Demo"
emoji: "🔱"
colorFrom: "blue"
colorTo: "pink"
sdk: gradio
sdk_version: "4.29.0"
app_file: app.py
pinned: false
---

# 🔱 POSEIDON Playground: Across Scientific Domains 🔱

**An interactive Gradio demo** exploring how the POSEIDON foundation model for solving Partial Differential Equations (PDEs) could be applied across physics, finance, quantum mechanics, and biology.

> Built with love 💖  🔱 for the Hugging Face Community ML Research Engineer take-home assignment.  
> Inspired by [POSEIDON: A Foundation Model for Solving PDEs](https://arxiv.org/abs/2405.19101) by CamLab ETH Zürich.  
> Code from the original repo: [github.com/camlab-ethz/poseidon](https://github.com/camlab-ethz/poseidon)

---

##  Goal

This app highlights the **multidisciplinary potential** of pre-trained PDE models like POSEIDON using:

- Intuitive **interactive visualizations**
- Simple simulations from **four real-world domains**



## 🪩 What You Can Do 

|  Feature | Description |
|-----------|-------------|
| ✔️ Pick a scientific domain | Finance, Quantum, Fluids, Biology |
| ✔️ Run a mini simulation | See how PDEs behave in each field |
| ✔️ Try POSEIDON inference | Generate predictions from synthetic inputs |
| ✔️ Use real PDE datasets | Compare POSEIDON output vs. ground truth |




## 🚀 Running Locally

1. **Clone this repo**
```bash
git clone https://github.com/YOUR_USERNAME/poseidon_demo.git
cd poseidon_demo
```

2. **(Option A) Using Conda**
```bash
conda env create -f environment.yml
conda activate poseidon-demo
```

3. **(Option B) Using virtualenv**
```bash
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
```


4. **(Run the demo**
```bash
python -m poseidon_demo.app
```


## 🪩 Big Thanks

- Hugging Face for the opportunity and open tools  
-  ETH Zürich’s CamLab for releasing the POSEIDON repo  
- 💖 You, the curious science hacker, for playing with this demo!