... computational fluid dynamics (CFD) simulations. This paper explores the potential of graph neural networks as surrogate models to accelerate the design process, for example, in a multi-fidelity framework. Graph neural networks promise to provide good estimates of flow quantities while maintaining the geometric...

... dynamic models to have accurate and reliable solutions, and has been studied extensively by several researchers. In recent years some researchers started using neural networks as a tool in model updating. An early work by Levin et al. [ 19 ] showed that neural networks are working quite well with simple...