These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
166 related articles for article (PubMed ID: 35450025)
1. Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control. Fasel U; Kutz JN; Brunton BW; Brunton SL Proc Math Phys Eng Sci; 2022 Apr; 478(2260):20210904. PubMed ID: 35450025 [TBL] [Abstract][Full Text] [Related]
2. SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics. Kaheman K; Kutz JN; Brunton SL Proc Math Phys Eng Sci; 2020 Oct; 476(2242):20200279. PubMed ID: 33214760 [TBL] [Abstract][Full Text] [Related]
3. Sparsifying priors for Bayesian uncertainty quantification in model discovery. Hirsh SM; Barajas-Solano DA; Kutz JN R Soc Open Sci; 2022 Feb; 9(2):211823. PubMed ID: 35223066 [TBL] [Abstract][Full Text] [Related]
4. Sparse identification of nonlinear dynamics for model predictive control in the low-data limit. Kaiser E; Kutz JN; Brunton SL Proc Math Phys Eng Sci; 2018 Nov; 474(2219):20180335. PubMed ID: 30839858 [TBL] [Abstract][Full Text] [Related]
5. Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient method. Purnomo A; Hayashibe M Sci Rep; 2023 May; 13(1):7919. PubMed ID: 37193704 [TBL] [Abstract][Full Text] [Related]
8. WEAK SINDy: GALERKIN-BASED DATA-DRIVEN MODEL SELECTION. Messenger DA; Bortz DM Multiscale Model Simul; 2021; 19(3):1474-1497. PubMed ID: 38239761 [TBL] [Abstract][Full Text] [Related]
9. Sparse identification of nonlinear dynamics for rapid model recovery. Quade M; Abel M; Nathan Kutz J; Brunton SL Chaos; 2018 Jun; 28(6):063116. PubMed ID: 29960401 [TBL] [Abstract][Full Text] [Related]
10. Modeling and prediction of the transmission dynamics of COVID-19 based on the SINDy-LM method. Jiang YX; Xiong X; Zhang S; Wang JX; Li JC; Du L Nonlinear Dyn; 2021; 105(3):2775-2794. PubMed ID: 34312574 [TBL] [Abstract][Full Text] [Related]
12. Enhancing model identification with SINDy via nullcline reconstruction. Prokop B; Frolov N; Gelens L Chaos; 2024 Jun; 34(6):. PubMed ID: 38885073 [TBL] [Abstract][Full Text] [Related]
13. Distilling identifiable and interpretable dynamic models from biological data. Massonis G; Villaverde AF; Banga JR PLoS Comput Biol; 2023 Oct; 19(10):e1011014. PubMed ID: 37851682 [TBL] [Abstract][Full Text] [Related]
14. An improved sparse identification of nonlinear dynamics with Akaike information criterion and group sparsity. Dong X; Bai YL; Lu Y; Fan M Nonlinear Dyn; 2023; 111(2):1485-1510. PubMed ID: 36246669 [TBL] [Abstract][Full Text] [Related]
15. Modeling bacteria pairwise interactions in human microbiota by Sparse Identification of Nonlinear Dynamics (SINDy) Gutierrez-Vilchis A; Perfecto-Avalos Y; Garcia-Gonzalez A Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083503 [TBL] [Abstract][Full Text] [Related]
17. Discovery of Physics From Data: Universal Laws and Discrepancies. de Silva BM; Higdon DM; Brunton SL; Kutz JN Front Artif Intell; 2020; 3():25. PubMed ID: 33733144 [TBL] [Abstract][Full Text] [Related]
18. Data-driven discovery of coordinates and governing equations. Champion K; Lusch B; Kutz JN; Brunton SL Proc Natl Acad Sci U S A; 2019 Nov; 116(45):22445-22451. PubMed ID: 31636218 [TBL] [Abstract][Full Text] [Related]
19. Learning chaotic systems from noisy data via multi-step optimization and adaptive training. Zhang L; Tang S; He G Chaos; 2022 Dec; 32(12):123134. PubMed ID: 36587345 [TBL] [Abstract][Full Text] [Related]
20. Uncovering differential equations from data with hidden variables. Somacal A; Barrera Y; Boechi L; Jonckheere M; Lefieux V; Picard D; Smucler E Phys Rev E; 2022 May; 105(5-1):054209. PubMed ID: 35706271 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]