E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation

no code implementations • 22 Jul 2022 • Joseph G. Wallwork, Jingyi Lu, Mingrui Zhang, Matthew D. Piggott

We demonstrate that this approach is able to obtain the same accuracy with a reduced computational cost, for adaptive mesh test cases related to flow around tidal turbines, which interact via their downstream wakes, and where the overall power output of the farm is taken as the QoI.

M2N: Mesh Movement Networks for PDE Solvers

1 code implementation • 24 Apr 2022 • Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang

However, mesh movement methods, such as the Monge-Ampere method, require the solution of auxiliary equations, which can be extremely expensive especially when the mesh is adapted frequently.

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