Interpretable A-posteriori error indication for graph neural network surrogate models
Data-driven surrogate modeling has surged in capability in recent years with the emergence
of graph neural networks (GNNs), which can operate directly on mesh-based …
of graph neural networks (GNNs), which can operate directly on mesh-based …
Segmentation of high-speed flow fields using physics-informed clustering
The advent of data-based modeling has provided new methods and algorithms for analyzing
the complex flow fields in high-speed combustion applications. These techniques can be …
the complex flow fields in high-speed combustion applications. These techniques can be …