Koumoutsakos, Petros

Machine Learning for Fluid Mechanics

Brunton, S. L., Noack, B. R., & Koumoutsakos, P. (2020) · Annual Review of Fluid Mechanics

Model Reduction and Neural NetworksMachine Learning in Materials Science

Cited by 3,063

Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)

Hansen, N., Müller, S. D., & Koumoutsakos, P. (2003) · Evolutionary Computation

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 2,601

Synchronisation through learning for two self-propelled swimmers

Novati, G., Verma, S., Alexeev, D., Rossinelli, D., van Rees, W. M., & Koumoutsakos, P. (2017) · Bioinspiration & Biomimetics

Biomimetic flight and propulsion mechanismsMicro and Nano Robotics

Cited by 157

The Fluid Mechanics of Cancer and Its Therapy

Koumoutsakos, P., Pivkin, I., & Milde, F. (2013) · Annual Review of Fluid Mechanics

Mathematical Biology Tumor GrowthCellular Mechanics and Interactions

Cited by 129

Learning efficient navigation in vortical flow fields

Gunnarson, P., Mandralis, I., Novati, G., Koumoutsakos, P., & Dabiri, J. O. (2021) · Nature Communications

Reinforcement Learning in RoboticsBiomimetic flight and propulsion mechanisms

Cited by 108

Structure and Response to Flow of the Glycocalyx Layer

Cruz-Chu, E. R., Malafeev, A., Pajarskas, T., Pivkin, I. V., & Koumoutsakos, P. (2014) · Biophysical Journal

Proteoglycans and glycosaminoglycans researchLipid Membrane Structure and Behavior

Cited by 87

Efficient collective swimming by harnessing vortices through deep reinforcement learning

Verma, S., Novati, G., & Koumoutsakos, P. (2018) · Proceedings of the National Academy of Sciences

Biomimetic flight and propulsion mechanismsFluid Dynamics and Turbulent Flows

Cited by 10