BriefGPT.xyz
Jun, 2022
用于研究定常不可压纳维-斯托克斯方程的可扩展基准图网数据集
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations
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Florent Bonnet, Jocelyn Ahmed Mazari, Thibaut Munzer, Pierre Yser, Patrick Gallinari
TL;DR
本文提出了一个2D图网格数据集，用于研究高雷诺数下的翼型气流，并介绍了应力力量指标以评估基于几何深度学习的模型，同时提供了广泛的GDL基准。
Abstract
Recent progress in \emph{
geometric deep learning
} (GDL) has shown its potential to provide powerful data-driven models. This gives momentum to explore new methods for learning physical systems governed by \emph{
partial
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