Summary of Neuraldem — Real-time Simulation Of Industrial Particulate Flows, by Benedikt Alkin and Tobias Kronlachner and Samuele Papa and Stefan Pirker and Thomas Lichtenegger and Johannes Brandstetter
NeuralDEM – Real-time Simulation of Industrial Particulate Flows
by Benedikt Alkin, Tobias Kronlachner, Samuele Papa, Stefan Pirker, Thomas Lichtenegger, Johannes Brandstetter
First submitted to arxiv on: 14 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: The abstract describes the development of a novel approach, NeuralDEM, which replaces computationally intensive discrete element method (DEM) simulations with fast and adaptable deep learning surrogates. DEM is widely used for simulating granular flows and powder mechanics, but its computational intensity restricts simulation duration or number of particles. NeuralDEM leverages end-to-end processing to model macroscopic behavior directly as additional auxiliary fields, while treating Lagrangian discretization of DEM as an underlying continuous field. This approach enables the modeling of coupled fluidized bed reactors with 160k CFD cells and 500k DEM particles for trajectories of up to 28 seconds. NeuralDEM has the potential to revolutionize engineering by enabling faster process cycles. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: The paper is about a new way to simulate complex physical systems, like how powder or sand moves. Right now, computers need to do a lot of complicated math to make these simulations work, which can take a long time. The new approach, called NeuralDEM, uses special computer algorithms to speed up the process. This will help engineers design and test processes faster, making it more efficient and cost-effective. |
Keywords
* Artificial intelligence * Deep learning
