Petros Koumoutsakos

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Philippe ChatelainInstitute of mechanics, materials and civil engineering, Université catholique de LouvainPatvirtintas el. paštas uclouvain.be
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Georgios ArampatzisMathematics and Applied Mathematics Department, University of CretePatvirtintas el. paštas ethz.ch
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Petros Koumoutsakos

Kiti vardaiPetros D Koumoutsakos

Harvard University

Patvirtintas el. paštas seas.harvard.edu - Pagrindinis puslapis

AI for science computational science and engineering uncertainty quantification fluid mechanics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	3021	2003
Machine learning for fluid mechanics S Brunton, B Noack, P Koumoutsakos Annual Reviews of Fluid Mechanics 52, 477-508, 2020	2752	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	1726	2005
Vortex methods: theory and practice GH Cottet, PD Koumoutsakos Cambridge University Press, 2000	1712	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	1528	2003
A parameter study for differential evolution R Gämperle, SD Müller, P Koumoutsakos Advances in intelligent systems, fuzzy systems, evolutionary computation 10 …, 2002	933	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	761	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	611	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	576	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	572	2018
MorphoGraphX: A platform for quantifying morphogenesis in 4D P Barbier de Reuille, AL Routier-Kierzkowska, D Kierzkowski, GW Bassel, ... elife 4, e05864, 2015	502	2015
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	475	2020
Optimization based on bacterial chemotaxis SD Muller, J Marchetto, S Airaghi, P Kournoutsakos IEEE transactions on Evolutionary Computation 6 (1), 16-29, 2002	469	2002
Simulations of optimized anguilliform swimming S Kern, P Koumoutsakos Journal of Experimental Biology 209 (24), 4841-4857, 2006	460	2006
Neural network modeling for near wall turbulent flow M Milano, P Koumoutsakos Journal of Computational Physics 182 (1), 1-26, 2002	452	2002
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	449	2018
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	436	2005
Multiscale flow simulations using particles P Koumoutsakos Annu. Rev. Fluid Mech. 37 (1), 457-487, 2005	423	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	396	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	374	2008

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