154 related articles for article (PubMed ID: 31675803)
1. Linear and nonlinear statistical response theories with prototype applications to sensitivity analysis and statistical control of complex turbulent dynamical systems.
Majda AJ; Qi D
Chaos; 2019 Oct; 29(10):103131. PubMed ID: 31675803
[TBL] [Abstract][Full Text] [Related]
2. Statistically accurate low-order models for uncertainty quantification in turbulent dynamical systems.
Sapsis TP; Majda AJ
Proc Natl Acad Sci U S A; 2013 Aug; 110(34):13705-10. PubMed ID: 23918398
[TBL] [Abstract][Full Text] [Related]
3. Effective control of complex turbulent dynamical systems through statistical functionals.
Majda AJ; Qi D
Proc Natl Acad Sci U S A; 2017 May; 114(22):5571-5576. PubMed ID: 28507125
[TBL] [Abstract][Full Text] [Related]
4. Statistical energy conservation principle for inhomogeneous turbulent dynamical systems.
Majda AJ
Proc Natl Acad Sci U S A; 2015 Jul; 112(29):8937-41. PubMed ID: 26150510
[TBL] [Abstract][Full Text] [Related]
5. Model Error, Information Barriers, State Estimation and Prediction in Complex Multiscale Systems.
Majda AJ; Chen N
Entropy (Basel); 2018 Aug; 20(9):. PubMed ID: 33265733
[TBL] [Abstract][Full Text] [Related]
6. Conceptual dynamical models for turbulence.
Majda AJ; Lee Y
Proc Natl Acad Sci U S A; 2014 May; 111(18):6548-53. PubMed ID: 24753605
[TBL] [Abstract][Full Text] [Related]
7. Unambiguous Models and Machine Learning Strategies for Anomalous Extreme Events in Turbulent Dynamical System.
Qi D
Entropy (Basel); 2024 Jun; 26(6):. PubMed ID: 38920531
[TBL] [Abstract][Full Text] [Related]
8. Transport and entropy production due to chaos or turbulence.
Mori H; Fujisaka H
Phys Rev E Stat Nonlin Soft Matter Phys; 2001 Feb; 63(2 Pt 2):026302. PubMed ID: 11308572
[TBL] [Abstract][Full Text] [Related]
9. New perspectives for the prediction and statistical quantification of extreme events in high-dimensional dynamical systems.
Sapsis TP
Philos Trans A Math Phys Eng Sci; 2018 Aug; 376(2127):. PubMed ID: 30037931
[TBL] [Abstract][Full Text] [Related]
10. Generalized Langevin equation and the linear regression model with memory.
Lee W
Phys Rev E; 2018 Aug; 98(2-1):022137. PubMed ID: 30253628
[TBL] [Abstract][Full Text] [Related]
11. Beating the curse of dimension with accurate statistics for the Fokker-Planck equation in complex turbulent systems.
Chen N; Majda AJ
Proc Natl Acad Sci U S A; 2017 Dec; 114(49):12864-12869. PubMed ID: 29158403
[TBL] [Abstract][Full Text] [Related]
12. Using machine learning to predict extreme events in complex systems.
Qi D; Majda AJ
Proc Natl Acad Sci U S A; 2020 Jan; 117(1):52-59. PubMed ID: 31871152
[TBL] [Abstract][Full Text] [Related]
13. Blended particle filters for large-dimensional chaotic dynamical systems.
Majda AJ; Qi D; Sapsis TP
Proc Natl Acad Sci U S A; 2014 May; 111(21):7511-6. PubMed ID: 24825886
[TBL] [Abstract][Full Text] [Related]
14. High-order moment closure models with random batch method for efficient computation of multiscale turbulent systems.
Qi D; Liu JG
Chaos; 2023 Oct; 33(10):. PubMed ID: 37871000
[TBL] [Abstract][Full Text] [Related]
15. A random batch method for efficient ensemble forecasts of multiscale turbulent systems.
Qi D; Liu JG
Chaos; 2023 Feb; 33(2):023113. PubMed ID: 36859236
[TBL] [Abstract][Full Text] [Related]
16. Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control.
Brunton SL; Brunton BW; Proctor JL; Kutz JN
PLoS One; 2016; 11(2):e0150171. PubMed ID: 26919740
[TBL] [Abstract][Full Text] [Related]
17. An efficient continuous data assimilation algorithm for the Sabra shell model of turbulence.
Chen N; Li Y; Lunasin E
Chaos; 2021 Oct; 31(10):103123. PubMed ID: 34717341
[TBL] [Abstract][Full Text] [Related]
18. Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification.
Chen N; Majda AJ
Entropy (Basel); 2018 Jul; 20(7):. PubMed ID: 33265599
[TBL] [Abstract][Full Text] [Related]
19. A statistical state dynamics approach to wall turbulence.
Farrell BF; Gayme DF; Ioannou PJ
Philos Trans A Math Phys Eng Sci; 2017 Mar; 375(2089):. PubMed ID: 28167577
[TBL] [Abstract][Full Text] [Related]
20. Machine learning-based statistical closure models for turbulent dynamical systems.
Qi D; Harlim J
Philos Trans A Math Phys Eng Sci; 2022 Aug; 380(2229):20210205. PubMed ID: 35719064
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]