[Project Page]
[Paper]
[BibTeX]
[Hopper Tutorial]
[Fluidized Bed Tutorial]
Run the tutorials direclty in google colab:
Implementation of NeuralDEM containing:
- Hopper model implementation src/neural_dem/hopper_model.py
- Fluidized bed reactor model implementation src/neural_dem/fbed_model.py
The implementation is accompanied with two tutorials notebook to showcase various aspects of our work:
- Data download and visualization
- Preprocessing data for an inference forward pass
- Instantiating models with pre-trained checkpoints from huggingface
- Visualize model predictions
We recommend to check it out yourself in an interactive google colab runtime:
The full dataset is available upon request to data@emmi.ai.
A single simulation from the testset can be found on huggingface, which are used for the colab notebooks.
If our work sparked your interest, check out our other works and resources!
- UPT overview
- NeuralDEM project page
- Computer vision for large-scale neural physics simulations (covering UPT and NeuralDEM)
- AB-UPT demo
If you like our work, please consider giving it a star ⭐ and cite us
@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}
}