README.md

---
license: cc-by-nc-4.0
tags:
  - emmi-ai

---

## Model Details

NeuralDEM models for simulating particle systems and particle-fluid coupled systems. 


NeuralDEM trains two models separately for these two systems where datasets are generated for the respective use-case.
- Particle simulations: A hopper with an outlet at the bottom is initially full of particles where particles exit the hopper through the outlet.
- Particle-fluid multi-physics simulations: A fluidized bed reactor where air comes in from the bottom and pushes around the particles within the reactor.


## How to use

We provide a standalone GitHub repository with relevant tutorial code on how execute inference. The corresponding repository can be found here: https://github.com/Emmi-AI/NeuralDEM


## Dataset

The datasets for NeuralDEM are available on Hugging Face Datasets at [`EmmiAI/NeuralDEM`](https://huggingface.co/datasets/EmmiAI/NeuralDEM). Additionally, this repository contains a single simulation sample from the test set to demonstrate inference.


## License

NeuralDEM is shared under the [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license.

## Citation instructions
```
@article{alkin2024neuraldem,
  title={{NeuralDEM} for real time simulations of industrial particular flows},
  author={Benedikt Alkin and Tobias Kronlachner and Samuele Papa and Stefan Pirker and Thomas Lichtenegger and Johannes Brandstetter},
  journal={Nature Communications Physics},
  year={2025}
  doi={10.1038/s42005-025-02342-4},
}
```