| 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 | 2782 | 2003 |
| Machine learning for fluid mechanics S Brunton, B Noack, P Koumoutsakos Annual Reviews of Fluid Mechanics 52, 477-508, 2020 | 2239 | 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 | 1672 | 2005 |
| Vortex methods: theory and practice GH Cottet, PD Koumoutsakos Cambridge University Press, 2000 | 1651 | 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 | 1476 | 2003 |
| A parameter study for differential evolution R Gämperle, SD Müller, P Koumoutsakos Advances in intelligent systems, fuzzy systems, evolutionary computation 10 …, 2002 | 906 | 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 | 599 | 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 | 572 | 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 | 504 | 2018 |
| Optimization based on bacterial chemotaxis SD Muller, J Marchetto, S Airaghi, P Kournoutsakos IEEE transactions on Evolutionary Computation 6 (1), 16-29, 2002 | 468 | 2002 |
| MorphoGraphX: A platform for quantifying morphogenesis in 4D P Barbier de Reuille, AL Routier-Kierzkowska, D Kierzkowski, GW Bassel, ... elife 4, e05864, 2015 | 460 | 2015 |
| Simulations of optimized anguilliform swimming S Kern, P Koumoutsakos Journal of Experimental Biology 209 (24), 4841-4857, 2006 | 437 | 2006 |
| Multiscale flow simulations using particles P Koumoutsakos Annu. Rev. Fluid Mech. 37, 457-487, 2005 | 430 | 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 | 405 | 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 | 393 | 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 | 385 | 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 | 382 | 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 |
Jens Honore WaltherDTU Denmark在 dtu.dk 的电子邮件经过验证
