Themistoklis Sapsis

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George HallerProfessor of Nonlinear Dynamics, ETH ZürichVerified email at ethz.ch
Alexander VakakisProfessor, Mechanical Science and Engineering, University of Illinois at Urbana - ChampaignVerified email at illinois.edu
Lawrence BergmanProfessor of aerospace engineering, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
D. Dane QuinnProfessor of Mechanical Engineering, The University of AkronVerified email at uakron.edu
Antoine BlanchardMITVerified email at mit.edu
Petros KoumoutsakosHarvard UniversityVerified email at seas.harvard.edu
Oleg GendelmanFaculty of Mechanical Engineering, TechnionVerified email at tx.technion.ac.il
Mohammad FarazmandAssistant Professor of Mathematics, NC State UniversityVerified email at ncsu.edu
Zhong Yi WanGoogle ResearchVerified email at google.com
Pierre LermusiauxProfessor of Mechanical Engineering and Ocean Science and Engineering, MITVerified email at mit.edu
Will CousinsPostdoctoral Associate, MITVerified email at mit.edu
Pantelis R. VlachasETH Zurich, Harvard SEAS, AI2CVerified email at seas.harvard.edu
Mustafa A. MohamadUniversity of CalgaryVerified email at mit.edu
Jocelyn M. KlugerPhD in Mechanical EngineeringVerified email at alum.mit.edu
Gaetan KerschenUniversity of LiegeVerified email at ulg.ac.be
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringVerified email at brown.edu
Hessam BabaeeUniversity of Pittsburgh, Mechanical Engineering and Materials ScienceVerified email at pitt.edu
Alexis-Tzianni CharalampopoulosGraduate Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Edward OttUniversity of MarylandVerified email at umd.edu
Brian R HuntUniversity of MarylandVerified email at umd.edu

Themistoklis Sapsis

Professor of Mechanical and Ocean Engineering, MIT

Verified email at mit.edu - Homepage

Extreme events Uncertainty quantification Bayesian methods Fluid dynamics Ocean Engineering


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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	343	2018
Dynamically orthogonal field equations for continuous stochastic dynamical systems TP Sapsis, PFJ Lermusiaux Physica D: Nonlinear Phenomena 238 (23-24), 2347-2360, 2009	254	2009
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	224*	2020
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	178	2018
Where do inertial particles go in fluid flows? G Haller, T Sapsis Physica D: Nonlinear Phenomena 237 (5), 573-583, 2008	170	2008
Lagrangian coherent structures and the smallest finite-time Lyapunov exponent G Haller, T Sapsis Chaos: An Interdisciplinary Journal of Nonlinear Science 21 (2), 023115, 2011	156	2011
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	129	2008
Effective stiffening and damping enhancement of structures with strongly nonlinear local attachments TP Sapsis, D Dane Quinn, AF Vakakis, LA Bergman Journal of vibration and acoustics 134 (1), 2012	128	2012
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	118	2009
Inertial particle dynamics in a hurricane T Sapsis, G Haller Journal of the Atmospheric Sciences 66 (8), 2481-2492, 2009	104	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	103	2011
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	99	2012
Reduced-order precursors of rare events in unidirectional nonlinear water waves W Cousins, TP Sapsis Journal of Fluid Mechanics 790, 368-388, 2016	96	2016
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	88	2013
Circadian rhythms in Rho1 activity regulate neuronal plasticity and network hierarchy A Petsakou, TP Sapsis, J Blau Cell 162 (4), 823-835, 2015	86	2015
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	82	2013
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	73	2018
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), 017515, 2010	72	2010
Quantification and prediction of extreme events in a one-dimensional nonlinear dispersive wave model W Cousins, TP Sapsis Physica D: Nonlinear Phenomena 280, 48-58, 2014	71	2014
A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systems D Venturi, TP Sapsis, H Cho, GE Karniadakis Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2012	69	2012

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