This page was last updated on 2024-07-17 08:45:08 UTC

Click here for a quick intro of the page! help

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
visibility_off	Data-driven discovery of coordinates and governing equations	Kathleen P. Champion, Bethany Lusch, J. Kutz, S. Brunton	2019-03-29	Proceedings of the National Academy of Sciences of the United States of America	589	63
visibility_off	Automatically discovering ordinary differential equations from data with sparse regression	Kevin Egan, Weizhen Li, Rui Carvalho	2024-01-09	Communications Physics	7	1
visibility_off	Sparse Estimation for Hamiltonian Mechanics	Yuya Note, Masahito Watanabe, Hiroaki Yoshimura, Takaharu Yaguchi, Toshiaki Omori	2024-03-25	Mathematics	0	11
visibility_off	Physics-informed learning of governing equations from scarce data	Zhao Chen, Yang Liu, Hao Sun	2020-05-05	Nature Communications	230	12
visibility_off	Sparsistent Model Discovery	Georges Tod, G. Both, R. Kusters	2021-06-22	ArXiv	1	12
visibility_off	Deep learning of physical laws from scarce data	Zhao Chen, Yang Liu, Hao Sun	2020-05-05	ArXiv	19	12
visibility_off	Discovery of nonlinear dynamical systems using a Runge–Kutta inspired dictionary-based sparse regression approach	P. Goyal, P. Benner	2021-05-11	Proceedings. Mathematical, Physical, and Engineering Sciences	37	53
visibility_off	Exploiting sparsity and equation-free architectures in complex systems	J. Proctor, S. Brunton, Bingni W. Brunton, J. Kutz	2014-12-10	The European Physical Journal Special Topics	64	63
visibility_off	Exploiting sparsity and equation-free architectures in complex systems	J. Proctor, S. Brunton, Bingni W. Brunton, J. Kutz	2014-12-01	The European Physical Journal Special Topics	7	63
Abstract	Title	Authors	Publication Date	Journal/Conference	Citation count	Highest h-index