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May, 2022
使用多尺度图神经网络实现环境流体力学的快速模拟
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
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Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris Cantwell
TL;DR
介绍了一种基于图神经网络的多尺度模型——MultiScaleGNN,该模型可用于加速许多自然流体系统的模拟,且比传统数值模拟的速度更快。
Abstract
numerical simulators
are essential tools in the study of natural fluid-systems, but their performance often limits application in practice. Recent
machine-learning approaches
have demonstrated their ability to ac
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