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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- emmi-ai |
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--- |
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## Model Details |
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NeuralDEM models for simulating particle systems and particle-fluid coupled systems. |
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NeuralDEM trains two models separately for these two systems where datasets are generated for the respective use-case. |
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- Particle simulations: A hopper with an outlet at the bottom is initially full of particles where particles exit the hopper through the outlet. |
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- Particle-fluid multi-physics simulations: A fluidized bed reactor where air comes in from the bottom and pushes around the particles within the reactor. |
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## How to use |
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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 |
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## Dataset |
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The datasets considered in NeuralDEM are available upon request to data@emmi.ai. Additionally, this repository contains a single simulation from the testset to demonstrate inference with NeuralDEM. |
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## License |
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NeuralDEM is shared under the [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license. |
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## Citation instructions |
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``` |
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@article{alkin2024neuraldem, |
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title={{NeuralDEM} - Real-time Simulation of Industrial Particulate Flows}, |
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author={Benedikt Alkin and Tobias Kronlachner and Samuele Papa and Stefan Pirker and Thomas Lichtenegger and Johannes Brandstetter}, |
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journal={arXiv preprint arXiv:2411.09678}, |
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year={2024} |
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} |
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``` |
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