Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks PR Vlachas, W Byeon, ZY Wan, TP Sapsis, P Koumoutsakos Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018 | 508 | 2018 |
Backpropagation algorithms and reservoir computing in recurrent neural networks for the forecasting of complex spatiotemporal dynamics PR Vlachas, J Pathak, BR Hunt, TP Sapsis, M Girvan, E Ott, ... Neural Networks 126, 191-217, 2020 | 396 | 2020 |
Dynamically orthogonal field equations for continuous stochastic dynamical systems TP Sapsis, PFJ Lermusiaux Physica D: Nonlinear Phenomena 238 (23-24), 2347-2360, 2009 | 304 | 2009 |
Data-assisted reduced-order modeling of extreme events in complex dynamical systems ZY Wan, P Vlachas, P Koumoutsakos, T Sapsis PloS one 13 (5), e0197704, 2018 | 243 | 2018 |
Where do inertial particles go in fluid flows? G Haller, T Sapsis Physica D: Nonlinear Phenomena 237 (5), 573-583, 2008 | 192 | 2008 |
Lagrangian coherent structures and the smallest finite-time Lyapunov exponent G Haller, T Sapsis Chaos: An Interdisciplinary Journal of Nonlinear Science 21 (2), 2011 | 178 | 2011 |
Effective stiffening and damping enhancement of structures with strongly nonlinear local attachments TP Sapsis, D Dane Quinn, AF Vakakis, LA Bergman | 143 | 2012 |
Efficiency of targeted energy transfers in coupled nonlinear oscillators associated with 1: 1 resonance captures: Part I DD Quinn, O Gendelman, G Kerschen, TP Sapsis, LA Bergman, ... Journal of Sound and Vibration 311 (3-5), 1228-1248, 2008 | 142 | 2008 |
Efficiency of targeted energy transfers in coupled nonlinear oscillators associated with 1: 1 resonance captures: Part II, analytical study TP Sapsis, AF Vakakis, OV Gendelman, LA Bergman, G Kerschen, ... Journal of Sound and Vibration 325 (1-2), 297-320, 2009 | 136 | 2009 |
Enhanced passive targeted energy transfer in strongly nonlinear mechanical oscillators OV Gendelman, T Sapsis, AF Vakakis, LA Bergman Journal of Sound and Vibration 330 (1), 1-8, 2011 | 120 | 2011 |
Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems MA Mohamad, TP Sapsis Proceedings of the National Academy of Sciences 115 (44), 11138-11143, 2018 | 115 | 2018 |
Inertial particle dynamics in a hurricane T Sapsis, G Haller Journal of the Atmospheric Sciences 66 (8), 2481-2492, 2009 | 115 | 2009 |
Extreme events: Mechanisms and prediction M Farazmand, TP Sapsis Applied Mechanics Reviews 71 (5), 050801, 2019 | 112 | 2019 |
Reduced-order precursors of rare events in unidirectional nonlinear water waves W Cousins, TP Sapsis Journal of Fluid Mechanics 790, 368-388, 2016 | 111 | 2016 |
Dynamical criteria for the evolution of the stochastic dimensionality in flows with uncertainty TP Sapsis, PFJ Lermusiaux Physica D: Nonlinear Phenomena 241 (1), 60-76, 2012 | 109 | 2012 |
Circadian rhythms in Rho1 activity regulate neuronal plasticity and network hierarchy A Petsakou, TP Sapsis, J Blau Cell 162 (4), 823-835, 2015 | 108 | 2015 |
Statistically accurate low-order models for uncertainty quantification in turbulent dynamical systems TP Sapsis, AJ Majda Proceedings of the National Academy of Sciences 110 (34), 13705-13710, 2013 | 96 | 2013 |
Numerical schemes for dynamically orthogonal equations of stochastic fluid and ocean flows MP Ueckermann, PFJ Lermusiaux, TP Sapsis Journal of Computational Physics 233, 272-294, 2013 | 94 | 2013 |
A variational approach to probing extreme events in turbulent dynamical systems M Farazmand, TP Sapsis Science advances 3 (9), e1701533, 2017 | 89 | 2017 |
Clustering criterion for inertial particles in two-dimensional time-periodic and three-dimensional steady flows T Sapsis, G Haller Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (1), 2010 | 82 | 2010 |