Petros Koumoutsakos

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Jens Honore WaltherDTU DenmarkVerified email at dtu.dk
Sibylle Sager-MüllerLucerne University of Applied Sciences and Arts, SwitzerlandVerified email at hslu.ch
Diego RossinelliStanford UniversityVerified email at stanford.edu
Philippe ChatelainInstitute of mechanics, materials and civil engineering, Université catholique de LouvainVerified email at uclouvain.be
Ivo F. SbalzariniTU Dresden & Max Planck Institute of Molecular Cell Biology and GeneticsVerified email at mpi-cbg.de
Richard L JaffeResearch Scientist, NASA Ames Research CenterVerified email at nasa.gov
Michael BergdorfD. E. Shaw ResearchVerified email at deshawresearch.com
Costas PapadimitriouUniversity of ThessalyVerified email at uth.gr
georges-henri cottetProf. Applied Maths, Université Grenoble AlpesVerified email at univ-grenoble-alpes.fr
Panagiotis AngelikopoulosD.E. Shaw ResearchVerified email at DEShawResearch.com
Guido NovatiETH ZurichVerified email at ethz.ch
Nikolaus HansenInria & Ecole Polytechnique & Institut Polytechnique de Paris, FranceVerified email at Inria.fr
Georgios ArampatzisMathematics and Applied Mathematics Department, University of CreteVerified email at ethz.ch
Willem (Wim) M. van ReesDepartment of Mechanical Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Stefan KernGE Renewable EnergyVerified email at ge.com
Mattia GazzolaUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Pantelis R. VlachasETH Zurich, Harvard SEAS, AI2C TechnologiesVerified email at ethz.ch
Dirk BücheDr.Verified email at alumni.ethz.ch
Petr KarnakovHarvard UniversityVerified email at seas.harvard.edu
Sergey LitvinovChair of Computational Science ETH ZurichVerified email at ethz.ch

Petros Koumoutsakos

Other namesPetros D Koumoutsakos

Harvard University

Verified email at seas.harvard.edu - Homepage

computational science and engineering AI for science uncertainty quantification supercomputing fluid mechanics


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Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES) N Hansen, SD Müller, P Koumoutsakos Evolutionary computation 11 (1), 1-18, 2003	2800	2003
Machine learning for fluid mechanics S Brunton, B Noack, P Koumoutsakos Annual Reviews of Fluid Mechanics 52, 477-508, 2020	2261	2020
Feature point tracking and trajectory analysis for video imaging in cell biology IF Sbalzarini, P Koumoutsakos Journal of structural biology 151 (2), 182-195, 2005	1671	2005
Vortex methods: theory and practice GH Cottet, PD Koumoutsakos Cambridge University Press, 2000	1649	2000
On the water− carbon interaction for use in molecular dynamics simulations of graphite and carbon nanotubes T Werder, JH Walther, RL Jaffe, T Halicioglu, P Koumoutsakos The Journal of Physical Chemistry B 107 (6), 1345-1352, 2003	1482	2003
A parameter study for differential evolution R Gämperle, SD Müller, P Koumoutsakos Advances in intelligent systems, fuzzy systems, evolutionary computation 10 …, 2002	909	2002
TScratch: a novel and simple software tool for automated analysis of monolayer wound healing assays. T Gebäck, MMP Schulz, P Koumoutsakos, M Detmar Biotechniques 46, 265-274, 2009	723	2009
Carbon nanotubes in water: structural characteristics and energetics JH Walther, R Jaffe, T Halicioglu, P Koumoutsakos The Journal of Physical Chemistry B 105 (41), 9980-9987, 2001	595	2001
High-resolution simulations of the flow around an impulsively started cylinder using vortex methods P Koumoutsakos, A Leonard Journal of Fluid Mechanics 296, 1-38, 1995	564	1995
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	505	2018
Optimization based on bacterial chemotaxis SD Muller, J Marchetto, S Airaghi, P Kournoutsakos IEEE transactions on Evolutionary Computation 6 (1), 16-29, 2002	467	2002
Simulations of optimized anguilliform swimming S Kern, P Koumoutsakos Journal of Experimental Biology 209 (24), 4841-4857, 2006	435	2006
Multiscale flow simulations using particles P Koumoutsakos Annu. Rev. Fluid Mech. 37 (1), 457-487, 2005	428	2005
Accelerating evolutionary algorithms with Gaussian process fitness function models D Buche, NN Schraudolph, P Koumoutsakos IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2005	424	2005
Neural network modeling for near wall turbulent flow M Milano, P Koumoutsakos Journal of Computational Physics 182 (1), 1-26, 2002	404	2002
Dispersion corrections to density functionals for water aromatic interactions U Zimmerli, M Parrinello, P Koumoutsakos The Journal of chemical physics 120 (6), 2693-2699, 2004	394	2004
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	391	2020
Efficient collective swimming by harnessing vortices through deep reinforcement learning S Verma, G Novati, P Koumoutsakos Proceedings of the National Academy of Sciences 115 (23), 5849-5854, 2018	378	2018
A method for handling uncertainty in evolutionary optimization with an application to feedback control of combustion N Hansen, ASP Niederberger, L Guzzella, P Koumoutsakos IEEE Transactions on Evolutionary Computation 13 (1), 180-197, 2008	356	2008
MorphoGraphX: A platform for quantifying morphogenesis in 4D P Barbier de Reuille, AL Routier-Kierzkowska, D Kierzkowski, GW Bassel, ... elife 4, e05864, 2015	335	2015

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