A mesh motion model based on deep operator networks is presented. The model is trained on and evaluated against a biharmonic mesh motion model on a fluid-structure interaction benchmark problem and further evaluated in a setting where biharmonic mesh motion fails. The performance of the proposed mesh motion model is comparable to the biharmonic mesh motion on the test problems.

翻译：本文提出一种基于深度算子网络的网格运动模型。该模型在流固耦合基准问题上与双调和网格运动模型进行训练和评估，并进一步在双调和网格运动失效的设定下进行验证。所提出的网格运动模型在测试问题上的表现与双调和网格运动相当。