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Learning physically consistent mathematical models from data using group
  sparsity

Learning physically consistent mathematical models from data using group sparsity

11 December 2020
Suryanarayana Maddu
B. Cheeseman
Christian L. Müller
I. Sbalzarini
ArXiv (abs)PDFHTML

Papers citing "Learning physically consistent mathematical models from data using group sparsity"

4 / 4 papers shown
Discovering PDEs from Multiple Experiments
Discovering PDEs from Multiple Experiments
Georges Tod
G. Both
R. Kusters
330
1
0
24 Sep 2021
Sparsistent Model Discovery
Sparsistent Model Discovery
Georges Tod
G. Both
R. Kusters
291
2
0
22 Jun 2021
Fully differentiable model discovery
Fully differentiable model discovery
G. Both
R. Kusters
PINN
221
2
0
09 Jun 2021
Data-driven discovery of multiscale chemical reactions governed by the
  law of mass action
Data-driven discovery of multiscale chemical reactions governed by the law of mass actionJournal of Computational Physics (JCP), 2021
Juntao Huang
Y. Zhou
W. Yong
234
6
0
17 Jan 2021
1
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