Recommendations for the article Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
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Data-driven discovery of coordinates and governing equations |
Kathleen P. Champion, Bethany Lusch, J. Kutz, S. Brunton
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2019-03-29 |
Proceedings of the National Academy of Sciences of the United States of America |
681 |
68 |
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Automatically discovering ordinary differential equations from data with sparse regression |
Kevin Egan, Weizhen Li, Rui Carvalho
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2024-01-09 |
Communications Physics |
13 |
2 |
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Sparse Estimation for Hamiltonian Mechanics |
Yuya Note, Masahito Watanabe, Hiroaki Yoshimura, Takaharu Yaguchi, Toshiaki Omori
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2024-03-25 |
Mathematics |
0 |
11 |
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Physics-informed learning of governing equations from scarce data |
Zhao Chen, Yang Liu, Hao Sun
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2020-05-05 |
Nature Communications |
324 |
13 |
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Sparsistent Model Discovery |
Georges Tod, G. Both, R. Kusters
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2021-06-22 |
ArXiv |
1 |
13 |
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Deep learning of physical laws from scarce data |
Zhao Chen, Yang Liu, Hao Sun
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2020-05-05 |
ArXiv |
19 |
13 |
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Discovery of nonlinear dynamical systems using a Runge–Kutta inspired dictionary-based sparse regression approach |
P. Goyal, P. Benner
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2021-05-11 |
Proceedings. Mathematical, Physical, and Engineering Sciences |
43 |
54 |
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Exploiting sparsity and equation-free architectures in complex systems |
J. Proctor, S. Brunton, Bingni W. Brunton, J. Kutz
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2014-12-10 |
The European Physical Journal Special Topics |
65 |
68 |
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Exploiting sparsity and equation-free architectures in complex systems |
J. Proctor, S. Brunton, Bingni W. Brunton, J. Kutz
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2014-12-01 |
The European Physical Journal Special Topics |
7 |
68 |
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