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May, 2023
物理信息神经网络在涡 shedding中的预测限制
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding
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Pi-Yueh Chuang, Lorena A. Barba
TL;DR
该论文研究物理驱动的神经网络(PINN)在预测不稳定流(特别是涡 shedding)时的局限性,表明PINN方法在数值上具有色散和扩散特性,需要更多的理论工作来分析其数值特性。
Abstract
The recent surge of interest in
physics-informed neural network
(PINN) methods has led to a wave of studies that attest to their potential for solving
partial differential equations
(PDEs) and predicting the dyna
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