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  • Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning
    Featured article in Physics of Fluids (Letter): “Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning”July 1, 2025
    Featured article in Physics of Fluids (Letter): “Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning”…Continue Reading Featured article in Physics of Fluids (Letter): “Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning”
  • Contactless precision steering of particles in a fluid inside a cube with rotating walls
    New article in Journal of Fluid Mechanics: “Contactless precision steering of particles in a fluid inside a cube with rotating walls”June 30, 2025
    New article in Journal of Fluid Mechanics: “Contactless precision steering of particles in a fluid inside a cube with rotating…Continue Reading New article in Journal of Fluid Mechanics: “Contactless precision steering of particles in a fluid inside a cube with rotating walls”
  • New publication in Physical Review Fluids: "Inertial focusing of spherical particles: The effects of rotational motion"
    New publication in Physical Review Fluids: “Inertial focusing of spherical particles: The effects of rotational motion”March 14, 2025
    New publication in Physical Review Fluids: “Inertial focusing of spherical particles: The effects of rotational motion” March 14, 2025 The…Continue Reading New publication in Physical Review Fluids: “Inertial focusing of spherical particles: The effects of rotational motion”
  • Decorative image
    Our paper “Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss” published in Physical Review LettersJanuary 29, 2025
    Our paper “Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss” published in Physical Review Letters Semester: Spring…Continue Reading Our paper “Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss” published in Physical Review Letters
  • Quentin Malé
    Welcome to Quentin Malé!January 6, 2025
    Quentin is joining us as a postdoctoral fellow from ETHZ. We’re very excited to combine his expertise on combustion and…Continue Reading Welcome to Quentin Malé!
  • Christopher Suhamdy
    Welcome to Christopher Suhamdy!December 9, 2024
    Welcome to Christopher Suhamdy! January 29, 2025 We’re happy to welcome Christopher Suhamdy, a visiting student from Technical University of Munich…Continue Reading Welcome to Christopher Suhamdy!
  • Fei Sha
    Visit of Fei Sha from Google researchDecember 3, 2024
    Visit of Fei Sha from Google research We have the pleasure to welcome Fei Sha from Google research. Fei is visiting as…Continue Reading Visit of Fei Sha from Google research
  • Generative learning for forecasting the dynamics of high-dimensional complex systems
    Our paper “Generative learning for forecasting the dynamics of high-dimensional complex systems” is selected as Editor’s highlight in Nature CommunicationsNovember 1, 2024
    Our paper “Generative learning for forecasting the dynamics of high-dimensional complex systems” is selected as Editor’s highlight in Nature Communications…Continue Reading Our paper “Generative learning for forecasting the dynamics of high-dimensional complex systems” is selected as Editor’s highlight in Nature Communications
  • Konstantinos Vogiatzoglou
    Visiting student Konstantinos VogiatzoglouOctober 1, 2024
    Visiting student Konstantinos Vogiatzoglou October 1, 2024 Welcome to Konstantinos Vogiatzoglou, visiting from the University of Tessali! We’re excited to work…Continue Reading Visiting student Konstantinos Vogiatzoglou
  • Rodrigo Abadia
    Welcome to Rodrigo Abadia!September 15, 2024
    Welcome to Rodrigo Abadia! September 15, 2024 We’re happy to have Rodrigo Abadia as a visiting student from Universidad Politecnica de Madrid!…Continue Reading Welcome to Rodrigo Abadia!
  • Philip Nielsen
    Welcome to Philip Nielsen!September 2, 2024
    Welcome to Philip Nielsen! September 2, 2024 Philip Nielsen is visiting us and will apply his knowledge in Reinforcement Learning…Continue Reading Welcome to Philip Nielsen!
  • Abhinav Singh
    Welcome to Abhinav Singh!September 1, 2024
    Welcome to Abhinav Singh! September 1, 2024 We’re happy to have Abhinav joining our team as a Postdoc. Abhinav will…Continue Reading Welcome to Abhinav Singh!
  • “Vortex separation cascades in simulations of the planar flow past an impulsively started cylinder up to Re=100 000” was published in the Journal of Fluid Mechanics
    Our paper “Vortex separation cascades in simulations of the planar flow past an impulsively started cylinder up to Re=100 000” was published in the Journal of Fluid MechanicsDecember 20, 2022
    Our paper “Vortex separation cascades in simulations of the planar flow past an impulsively started cylinder up to Re=100 000”…Continue Reading Our paper “Vortex separation cascades in simulations of the planar flow past an impulsively started cylinder up to Re=100 000” was published in the Journal of Fluid Mechanics
  • "Bayesian uncertainty quantification for machine-learned models in physics" published in Nature Reviews Physics
    Our viewpoint “Bayesian uncertainty quantification for machine-learned models in physics” was published in Nature Reviews PhysicsAugust 23, 2022
    Our viewpoint “Bayesian uncertainty quantification for machine-learned models in physics” was published in Nature Reviews Physics Our paper “Bayesian uncertainty…Continue Reading Our viewpoint “Bayesian uncertainty quantification for machine-learned models in physics” was published in Nature Reviews Physics
  • "Scientific multi-agent reinforcement learning for wall-models of turbulent flows" featured as a Nature Communications Editors’ Highlight
    Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” has been featured as a Nature Communications Editors’ HighlightMarch 22, 2022
    Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” has been featured as a Nature Communications Editors’ Highlight…Continue Reading Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” has been featured as a Nature Communications Editors’ Highlight
  • Bubbles, bubbles everywhere Novel method simulates tens of thousands of bubbles in foamy flows
    Bubbles, bubbles everywhere Novel method simulates tens of thousands of bubbles in foamy flowsFebruary 2, 2022
    Bubbles, bubbles everywhere Novel method simulates tens of thousands of bubbles in foamy flows February 2, 2024 Our research has…Continue Reading Bubbles, bubbles everywhere Novel method simulates tens of thousands of bubbles in foamy flows
  • “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover of Journal of Physical Chemistry B
    Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover of Journal of Physical Chemistry BJanuary 9, 2022
    Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover…Continue Reading Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover of Journal of Physical Chemistry B
  • Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field
    Our paper “Independent control and path planning of microswimmers with a uniform magnetic field” was published in Advanced Intelligent SystemsDecember 27, 2021
    Our paper “Independent control and path planning of microswimmers with a uniform magnetic field” was published in Advanced Intelligent Systems December…Continue Reading Our paper “Independent control and path planning of microswimmers with a uniform magnetic field” was published in Advanced Intelligent Systems
  • Test navigation problem of navigating through unsteady cylinder flow
    Our paper “Learning Efficient Navigation in Vortical Flow Fields” was published in Nature Communications.December 9, 2021
    Our paper “Learning Efficient Navigation in Vortical Flow Fields” was published in Nature Communications. December 9, 2021 Our paper “Learning…Continue Reading Our paper “Learning Efficient Navigation in Vortical Flow Fields” was published in Nature Communications.
  • Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization
    Our paper “Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization” has been published in Computer Methods in Applied Mechanics and EngineeringNovember 29, 2021
    Our paper “Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization” has been published in Computer Methods…Continue Reading Our paper “Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization” has been published in Computer Methods in Applied Mechanics and Engineering
  • Tuning the Dielectric Response of Water in Nanoconfinement through Surface Wettability
    Our paper “Tuning the Dielectric Response of Water in Nanoconfinement through Surface Wettability” has been published in ACS Nano.November 29, 2021
    Our paper “Tuning the Dielectric Response of Water in Nanoconfinement through Surface Wettability” has been published in ACS Nano. November…Continue Reading Our paper “Tuning the Dielectric Response of Water in Nanoconfinement through Surface Wettability” has been published in ACS Nano.
  • Nanopumps without Pressure Gradients: Ultrafast Transport of Water in Patterned Nanotubes
    Our paper “Nanopumps without Pressure Gradients: Ultrafast Transport of Water in Patterned Nanotubes” was published in the Journal of Physical Chemistry BOctober 22, 2021
    Our paper “Nanopumps without Pressure Gradients: Ultrafast Transport of Water in Patterned Nanotubes” was published in the Journal of Physical…Continue Reading Our paper “Nanopumps without Pressure Gradients: Ultrafast Transport of Water in Patterned Nanotubes” was published in the Journal of Physical Chemistry B
  • Learning swimming escape patterns for larval fish under energy constraints
    Our paper “Learning swimming escape patterns for larval fish under energy constraints” was published in Physical Review Fluids.September 20, 2021
    Our paper “Learning swimming escape patterns for larval fish under energy constraints” was published in Physical Review Fluids. September 20,…Continue Reading Our paper “Learning swimming escape patterns for larval fish under energy constraints” was published in Physical Review Fluids.
  • Machine Learning and Physical Review Fluids: An Editorial Perspective
    Our editorial “Machine Learning and Physical Review Fluids: An Editorial Perspective” was published in Physical Review FluidsJuly 19, 2021
    Our editorial “Machine Learning and Physical Review Fluids: An Editorial Perspective” was published in Physical Review Fluids July 19, 2021…Continue Reading Our editorial “Machine Learning and Physical Review Fluids: An Editorial Perspective” was published in Physical Review Fluids
  • A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks
    Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” has been featured on the cover of Physics of Fluids.June 30, 2021
    Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” has…Continue Reading Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” has been featured on the cover of Physics of Fluids.
  • A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks
    Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” is in the newsJune 11, 2021
    Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” is…Continue Reading Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” is in the news
  • A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks
    Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” was selected to be an Editor’s Pick in AIP Physics of FluidsJune 8, 2021
    Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” was…Continue Reading Our paper “A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks” was selected to be an Editor’s Pick in AIP Physics of Fluids
  • Foaming waterfall
    Our video is nominated for SNFS Best Swiss science video 2017-2021March 11, 2021
    Our video is nominated for SNFS Best Swiss science video 2017-2021 March 11, 2021 Our video “Foaming waterfall” is nominated…Continue Reading Our video is nominated for SNFS Best Swiss science video 2017-2021
  • Petros Koumoutsakos
    Petros Koumoutsakos joins SEAS and will lead the Institute for Applied Computational ScienceFebruary 24, 2021
    Petros Koumoutsakos joins SEAS and will lead the Institute for Applied Computational Science February 24, 2021 The full article by…Continue Reading Petros Koumoutsakos joins SEAS and will lead the Institute for Applied Computational Science

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Herbert S. Winokur Jr. Professor of Computing in Science and Engineering

323 Pierce Hall, 29 Oxford Street Cambridge, MA 02138

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Recent Publications

  • D. Waelchli, P. Weber, M. Chatzimanolakis, R. Katzschmann, and P. Koumoutsakos, “Inverse reinforcement learning for objective discovery in collective behavior of artificial swimmers“, Physical Review Fluids, vol. 10, no. 6, pp. 064901, 2025. Inverse reinforcement learning for objective discovery in collective behavior of artificial swimmers DOI Inverse reinforcement learning for objective discovery in collective behavior of artificial swimmers PDF
  • M. Balcerak, et al., “Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss“, Nature Communications, vol. 16, pp. 5982, 2025. Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss DOI Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss PDF
  • L. Amoudruz, P. Karnakov, and P. Koumoutsakos, “Contactless precision steering of particles in a fluid inside a cube with rotating walls“, Journal of Fluid Mechanics, vol. 1014, no. A15, 2025. Contactless precision steering of particles in a fluid inside a cube with rotating walls DOI Iner Contactless precision steering of particles in a fluid inside a cube with rotating walls PDF

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