张量网络可以计算流的概率分布
Nikita Gourianov1,2, Peyman Givi1, Dieter Jaksch2,3
1Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Science advances
|January 29, 2025
概括
科学家们开发了一种使用张量网络 (TN) 模拟流的高维概率密度函数 (PDF) 的新方法. 这种方法显著降低了计算成本,使复杂的流体动力学模拟可行.
科学领域:
- 流体动力学 流体动力学
- 计算物理学的计算物理.
- 应用数学 应用数学 应用数学
背景情况:
- 由于混乱和多尺度的性质,预测流体动力学在计算上具有挑战性.
- 传统的模拟方法与流的概率密度函数 (PDF) 的高维度作斗争.
研究的目的:
- 为了克服模拟流的维度挑战PDF.
- 开发一种计算效率高的方法来建模复杂的流体动力学.
主要方法:
- 使用压缩张量网络 (TNs) 编码高维流PDF文件.
- 将张量网络模拟与标准有限差异算法进行比较.
主要成果:
- 在5+1维的PDF中实现了显著的内存 (高达[公式:见文本]) 和计算成本 (高达[公式:见文本]) 的降低.
- 在单个CPU内核上实现实用模拟,而此前即使在超级计算机上也是不可能实现的.
结论:
- 张量网络为模拟流的高维PDF提供了可行的解决方案.
- 这种方法为直接模拟概率描述的复杂混乱系统铺平了道路.
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