PDEs:

Nicola Rares Franco1, Stefania Fresca1, Filippo Tombari1

  • 1MOX, Department of Mathematics, Politecnico di Milano, Milan 20133, Italy.

Chaos (Woodbury, N.Y.)
|December 12, 2023
PubMed
概括

图形神经网络 (GNN) 为模拟由部分微分方程 (PDEs) 控制的复杂物理系统提供了一个有效的替代方案. 这种数据驱动的方法有效地处理几何变化,并在不同的网格中进行概括,提高计算效率.

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