Підписатись
Petros Koumoutsakos
Petros Koumoutsakos
Інші іменаPetros D Koumoutsakos
Harvard University
Підтверджена електронна адреса в seas.harvard.edu - Домашня сторінка
Назва
Посилання
Посилання
Рік
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
30192003
Machine learning for fluid mechanics
S Brunton, B Noack, P Koumoutsakos
Annual Reviews of Fluid Mechanics 52, 477-508, 2020
27432020
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
17252005
Vortex methods: theory and practice
GH Cottet, PD Koumoutsakos
Cambridge University Press, 2000
17132000
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
15282003
A parameter study for differential evolution
R Gämperle, SD Müller, P Koumoutsakos
Advances in intelligent systems, fuzzy systems, evolutionary computation 10 …, 2002
9332002
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
7602009
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
6112001
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
5771995
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
5722018
MorphoGraphX: A platform for quantifying morphogenesis in 4D
P Barbier de Reuille, AL Routier-Kierzkowska, D Kierzkowski, GW Bassel, ...
elife 4, e05864, 2015
5012015
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
4732020
Optimization based on bacterial chemotaxis
SD Muller, J Marchetto, S Airaghi, P Kournoutsakos
IEEE transactions on Evolutionary Computation 6 (1), 16-29, 2002
4692002
Simulations of optimized anguilliform swimming
S Kern, P Koumoutsakos
Journal of Experimental Biology 209 (24), 4841-4857, 2006
4602006
Neural network modeling for near wall turbulent flow
M Milano, P Koumoutsakos
Journal of Computational Physics 182 (1), 1-26, 2002
4512002
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
4472018
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
4362005
Multiscale flow simulations using particles
P Koumoutsakos
Annu. Rev. Fluid Mech. 37 (1), 457-487, 2005
4232005
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
3962004
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
3742008
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