Petros Koumoutsakos

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Jens Honore WaltherDTU Denmark and ETH Zurich SwitzerlandVerified email at mavt.ethz.ch
Sibylle Sager-MüllerLucerne University of Applied Sciences and Arts, SwitzerlandVerified email at hslu.ch
Philippe ChatelainInstitute of mechanics, materials and civil engineering, Université catholique de LouvainVerified email at uclouvain.be
Diego RossinelliKantonsspital AarauVerified email at ksa.ch
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
georges-henri cottetProf. Applied Maths, Université Grenoble AlpesVerified email at univ-grenoble-alpes.fr
Costas PapadimitriouUniversity of ThessalyVerified email at uth.gr
Panagiotis AngelikopoulosD.E. Shaw ResearchVerified email at DEShawResearch.com
Nikolaus HansenInria & Ecole Polytechnique & Institut Polytechnique de Paris, FranceVerified email at Inria.fr
Stefan KernGE Renewable EnergyVerified email at ge.com
Guido NovatiETH ZurichVerified email at ethz.ch
Willem (Wim) M. van ReesDepartment of Mechanical Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Georgios ArampatzisChair of Computational Science, ETH, ZürichVerified email at ethz.ch
Mattia GazzolaUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Pantelis R. VlachasETH Zurich, Harvard SEAS, AI2C TechnologiesVerified email at ethz.ch
Petr KarnakovHarvard UniversityVerified email at seas.harvard.edu
Sergey LitvinovChair of Computational Science ETH ZurichVerified email at ethz.ch
Simone E. HieberResearch Associate, Biomaterials Science Center, University of BaselVerified email at unibas.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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2445	2003
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	1597	2005
Vortex methods: theory and practice GH Cottet, PD Koumoutsakos Cambridge University Press, 2000	1570	2000
Machine learning for fluid mechanics S Brunton, B Noack, P Koumoutsakos Annual Reviews of Fluid Mechanics 52, 477-508, 2020	1516	2020
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	1397	2003
A parameter study for differential evolution R Gämperle, SD Müller, P Koumoutsakos Advances in intelligent systems, fuzzy systems, evolutionary computation 10 …, 2002	857	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	696	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	596	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	540	1995
Optimization based on bacterial chemotaxis SD Muller, J Marchetto, S Airaghi, P Kournoutsakos IEEE transactions on Evolutionary Computation 6 (1), 16-29, 2002	451	2002
Multiscale flow simulations using particles P Koumoutsakos Annu. Rev. Fluid Mech. 37, 457-487, 2005	415	2005
Simulations of optimized anguilliform swimming S Kern, P Koumoutsakos Journal of Experimental Biology 209 (24), 4841-4857, 2006	408	2006
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	401	2018
MorphoGraphX: A platform for quantifying morphogenesis in 4D P Barbier de Reuille, AL Routier-Kierzkowska, D Kierzkowski, GW Bassel, ... elife 4, e05864, 2015	398	2015
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	388	2005
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	373	2004
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	339	2008
Learning probability distributions in continuous evolutionary algorithms–a comparative review S Kern, SD Müller, N Hansen, D Büche, J Ocenasek, P Koumoutsakos Natural Computing 3, 77-112, 2004	320	2004
Neural network modeling for near wall turbulent flow M Milano, P Koumoutsakos Journal of Computational Physics 182 (1), 1-26, 2002	319	2002
A theoretical prediction of friction drag reduction in turbulent flow by superhydrophobic surfaces K Fukagata, N Kasagi, P Koumoutsakos Physics of fluids 18 (5), 051703, 2006	296	2006

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