Search Results for author:
Found 2 papers, 0 papers with code
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
For the deformable solid simulation of the swimmer's body, we use state-of-the-art techniques from the field of computer graphics to speed up the finite-element method (FEM).
Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes
Enhancing neural networks with knowledge of physical equations has become an efficient way of solving various physics problems, from fluid flow to electromagnetism.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
