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| license: cc-by-nc-4.0 |
| tags: |
| - 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. |
| - 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. |
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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 |
| ``` |
| @article{alkin2024neuraldem, |
| title={{NeuralDEM} - Real-time Simulation of Industrial Particulate Flows}, |
| author={Benedikt Alkin and Tobias Kronlachner and Samuele Papa and Stefan Pirker and Thomas Lichtenegger and Johannes Brandstetter}, |
| journal={arXiv preprint arXiv:2411.09678}, |
| year={2024} |
| } |
| ``` |
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