Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology
via Pretraining
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology
via Pretraining
Meshes are used to represent complex objects in high fidelity physics simulators across a variety of domains, such as radar sensing and aerodynamics. There is growing interest in using neural networks to accelerate physics simulations, and also a growing body of work on applying neural networks directly to irregular mesh …