Boundary Graph Neural Networks for 3D Simulations

Understand

The abundance of data has given machine learning considerable momentum in natural sciences and engineering, though modeling of physical processes is often difficult.

• A particularly tough problem is the efficient representation of geometric boundaries.
• Triangularized geometric boundaries are well understood and ubiquitous in engineering applications.
• However, it is notoriously difficult to integrate them into machine learning approaches due to their heterogeneity with respect to size and orientation.