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Feb, 2024
PARCv2:物理感知循环卷积神经网络用于时空动力学建模
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
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Phong C. H. Nguyen, Xinlun Cheng, Shahab Arfaza, Pradeep Seshadri, Yen T. Nguyen...
TL;DR
通过引入归纳偏置方法,我们研究了物理感知递归卷积 (PARC) 在模拟非稳态和对流优势动态系统方面的能力,并将其与其他物理模型进行了比较。
Abstract
Modeling unsteady, fast transient, and advection-dominated physics problems is a pressing challenge for
physics-aware deep learning
(PADL). The physics of complex systems is governed by large systems of
partial differen
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