40 citations · 46 across the 5 of their papers we have counts for
5 papers
UCNN: A Convolutional Strategy on Unstructured Mesh
Mengfei Xu, Shufang Song, Xuxiang Sun +1
In machine learning for fluid mechanics, fully-connected neural network (FNN) only uses the local features for modelling, while the convolutional neural network (CNN) cannot be app…
Machine learning for adjoint vector in aerodynamic shape optimization
Mengfei Xu, Shufang Song, Xuxiang Sun +2
Adjoint method is widely used in aerodynamic design because only once solution of flow field is required for adjoint method to obtain the gradients of all design variables. However…
Quantile based global sensitivity measures
Sergei Kucherenko, Shufang Song
New global sensitivity measures based on quantiles of the output are introduced. Such measures can be used for global sensitivity analysis of problems in which quantiles are explic…
Different numerical estimators for main effect global sensitivity indices
Sergei Kucherenko, Shufang Song
The variance-based method of global sensitivity indices based on Sobol sensitivity indices became very popular among practitioners due to its easiness of interpretation. For comple…
Derivative-based global sensitivity measures and their link with Sobol sensitivity indices
S. Kucherenko, S. Song
The variance-based method of Sobol sensitivity indices is very popular among practitioners due to its efficiency and easiness of interpretation. However, for high-dimensional model…