Simulating Physics with Graph Networks
||Simulating Physics with Graph Networks|
||Rickard Armiento <firstname.lastname@example.org>|
||2022-02-24 – 2022-09-01|
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.