Extensive Scaling from Computational Homology and Karhunen-Loève Decomposition Analysis of Rayleigh-Bénard Convection Experiments

Author:

Kurtuldu Hüseyin,Mischaikow Konstantin,Schatz Michael F.

Funder

U.S. Department of Energy

Air Force Office of Scientific Research

Defense Advanced Research Projects Agency

National Science Foundation

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Topological data analysis and machine learning;Advances in Physics: X;2023-04-29

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3. Correlations between the leading Lyapunov vector and pattern defects for chaotic Rayleigh-Bénard convection;Chaos: An Interdisciplinary Journal of Nonlinear Science;2019-05

4. Pore Geometry Characterization by Persistent Homology Theory;Water Resources Research;2018-06

5. Limit Theorems for Random Cubical Homology;Discrete & Computational Geometry;2018-05-15

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