Simulating Physics with Graph Networks
Title: |
Simulating Physics with Graph Networks |
DNr: |
Berzelius-2022-41 |
Project Type: |
LiU Berzelius |
Principal Investigator: |
Rickard Armiento <rickard.armiento@liu.se> |
Affiliation: |
Linköpings universitet |
Duration: |
2022-02-24 – 2022-09-01 |
Classification: |
10299 |
Keywords: |
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Abstract
We apply for GPU resources to evaluate and investigate extension of the Graph Neural Network (GNN) framework GraphNets of Sanchez-Gonzalez et al. [https://arxiv.org/abs/2002.09405] for particle based simulations for physics-based animation. This network has been used to simulate a wide variety of challenging physical domains, involving fluids, rigid solids, and deformable materials interacting with one another.
The project work and computations are conducted by Oskar Andersson as a diploma project, with Jose Luis Lima de Jesus Silva as supervisor, and Rickard Armiento as examiner.