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
Ivo F. SbalzariniTU Dresden / Max Planck Institute of Molecular Cell Biology and GeneticsVerified email at mpi-cbg.de
Diego RossinelliKantonsspital AarauVerified email at ksa.ch
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
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
Guido NovatiETH ZurichVerified email at ethz.ch
Mattia GazzolaUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Georgios ArampatzisChair of Computational Science, ETH, ZürichVerified email at ethz.ch
Pantelis R. VlachasETH Zurich, Harvard SEAS, AI2CVerified email at seas.harvard.edu
Simone E. HieberResearch Associate, Biomaterials Science Center, University of BaselVerified email at unibas.ch
Petr KarnakovETH ZurichVerified email at ethz.ch
Dimos PoulikakosETH ZurichVerified email at ethz.ch

Petros Koumoutsakos

Harvard University / ETHZ

Verified email at seas.harvard.edu - Homepage

computational science and engineering artificial intelligence supercomputing fluid mechanics uncertainty quantification


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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	2197	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	1511	2005
Vortex methods: theory and practice GH Cottet, PD Koumoutsakos Cambridge University Press, 2000	1497	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	1311	2003
Machine learning for fluid mechanics S Brunton, B Noack, P Koumoutsakos arXiv preprint arXiv:1905.11075, 2019	1015	2019
A parameter study for differential evolution R Gämperle, SD Müller, P Koumoutsakos Advances in intelligent systems, fuzzy systems, evolutionary computation 10 …, 2002	818	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	653	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	583	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	524	1995
Optimization based on bacterial chemotaxis SD Muller, J Marchetto, S Airaghi, P Kournoutsakos IEEE transactions on Evolutionary Computation 6 (1), 16-29, 2002	441	2002
Multiscale flow simulations using particles P Koumoutsakos Annu. Rev. Fluid Mech. 37, 457-487, 2005	402	2005
Simulations of optimized anguilliform swimming S Kern, P Koumoutsakos Journal of Experimental Biology 209 (24), 4841-4857, 2006	383	2006
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	367	2004
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	364	2005
MorphoGraphX: A platform for quantifying morphogenesis in 4D PB de Reuille, AL Routier-Kierzkowska, D Kierzkowski, GW Bassel, ... elife 4, e05864, 2015	356	2015
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	321	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	309	2004
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	306	2018
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	290	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	276	2005

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