Petros Koumoutsakos

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Jens Honore WaltherDTU Denmark and ETH Zurich SwitzerlandVerified email at mavt.ethz.ch
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
Diego RossinelliVerified email at uzh.ch
georges-henri cottetProf. Applied Maths, Université Grenoble AlpesVerified email at univ-grenoble-alpes.fr
Michael BergdorfD. E. Shaw ResearchVerified email at deshawresearch.com
Panagiotis AngelikopoulosD.E. Shaw ResearchVerified email at DEShawResearch.com
Costas Papadimitriouuniversity of thessalyVerified email at uth.gr
Nikolaus HansenInria & Institut Polytechnique de Paris, FranceVerified email at Inria.fr
Stefan KernGE Renewable EnergyVerified email at ge.com
Willem (Wim) M. van ReesDepartment of Mechanical Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Mattia GazzolaUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Guido NovatiETH ZurichVerified email at ethz.ch
Georgios ArampatzisChair of Computational Science, ETH, ZürichVerified email at ethz.ch
Simone E. HieberResearch Associate, Biomaterials Science Center, University of BaselVerified email at unibas.ch
Dimos PoulikakosETH ZurichVerified email at ethz.ch
Ari HeleniusEmeritus Professor of Biochemistry, ETH ZurichVerified email at bc.biol.ethz.ch
Pantelis Rafail VlachasPhD Student, ETH ZurichVerified email at ethz.ch
Petr KarnakovETH ZurichVerified email at ethz.ch

Petros Koumoutsakos

Harvard University / ETH Zurich

Verified email at seas.harvard.edu - Homepage

computational science and engineering artificial intelligence fluid mechanics data-driven modeling supercomputing


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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	1954	2003
Vortex methods: theory and practice GH Cottet, PD Koumoutsakos Cambridge University Press, 2000	1415	2000
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	1388	2005
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	1230	2003
A parameter study for differential evolution R Gämperle, SD Müller, P Koumoutsakos Advances in intelligent systems, fuzzy systems, evolutionary computation 10 …, 2002	779	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	611	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	562	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	502	1995
Machine learning for fluid mechanics SL Brunton, BR Noack, P Koumoutsakos Annual Review of Fluid Mechanics 52, 477-508, 2020	483	2020
Optimization based on bacterial chemotaxis SD Muller, J Marchetto, S Airaghi, P Kournoutsakos IEEE transactions on Evolutionary Computation 6 (1), 16-29, 2002	433	2002
Multiscale flow simulations using particles P Koumoutsakos Annu. Rev. Fluid Mech. 37, 457-487, 2005	384	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	354	2004
Simulations of optimized anguilliform swimming S Kern, P Koumoutsakos Journal of Experimental Biology 209 (24), 4841-4857, 2006	350	2006
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	335	2005
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	306	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 (1), 77-112, 2004	286	2004
MorphoGraphX: A platform for quantifying morphogenesis in 4D PB de Reuille, AL Routier-Kierzkowska, D Kierzkowski, GW Bassel, ... Elife 4, e05864, 2015	283	2015
Molecular dynamics simulation of contact angles of water droplets in carbon nanotubes T Werder, JH Walther, RL Jaffe, T Halicioglu, F Noca, P Koumoutsakos Nano Letters 1 (12), 697-702, 2001	279	2001
Hybrid atomistic–continuum method for the simulation of dense fluid flows T Werder, JH Walther, P Koumoutsakos Journal of Computational Physics 205 (1), 373-390, 2005	266	2005
Contrasting actions of selective inhibitors of angiopoietin-1 and angiopoietin-2 on the normalization of tumor blood vessels BL Falcón, H Hashizume, P Koumoutsakos, J Chou, JV Bready, A Coxon, ... The American journal of pathology 175 (5), 2159-2170, 2009	260	2009

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