Machine learning for modelling unstructured grid data in computational physics: A review

Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang et al. (3 additional authors not shown)

Abstract: Highlights•Machine learning to tackle data sparsity and irregularity in physics dynamics.•Highlights applications in environmental simulation and multiphase flow.•Among the first reviews of ML methods for unstructured spatiotemporal data.