We look forward to receiving figures and movies from our users.

If you would like your results to be featured on the web-page please email Ron Rahaman (, or Oana Marin (

KTH submissions

The flow around a square cylinder at  Re=11000 (aka skyscraper). Ref: Vinuesa et al., J. Turbulence 2015.

Simulations of the instability mechanism in a jet in crossflow. Using a linear stability analysis based on an Arnoldi-time-stepper method, the most dominant global mode is extracted. Ref: Peplinski et al. Eur. J. Mech. B/Fluids, 2014.

Straight pipe at  Re_\tau=1000. Cross-section with colours of the axial vorticity. Ref: El Khoury et al., Flow Turbulence Combustion, 2013.

The flow in a bent pipe, Re_\tau=360 and curvature 0.1. From left to right: Near-wall structures evinced by negative lambda_2, wall-shear stress and Lagrangian particles. Ref: Noorani at al., Int J. Heat Fluid Flow 2013, and Noorani et al., J. Fluid Mech., submitted 2015.

Snapshot of the turbulent diffuser flow at Re=10000 showing the complex chaotic and turbulent flow. Light gray: separated flow, dark gray: attached flow. Ref: Malm et al. J. Fluid Mech. 2012.

The Art of Science Contest Entry (2011)

This picture represents the temperature in a natural circulation toroidal loop (red and shades – hot, blue and shades – cold). Natural convection loops represent the prototype of safety systems so important for new Nuclear Reactors designs. They are also representative of the chaos generated in buoyancy-driven systems. In fact, the dynamic in a torus can be reduced to the Lorenz equations. The temperature distribution might reverse itself, due to a strange attractor. This picture presents a snapshot in a time of such complex behavior. Credit: Elia Merzari (Argonne National Laboratory)

The Art of Science Contest Entry (2012)

Nuclear reactors are usually cooled by a fluid, and the flow is usually complex. In fact, it is highly turbulent and chaotic: so much so that scientists are only now starting to uncover the complex underlying flow physics. The different colors in this picture represent different velocity intensities in a scaled-down facility representative of a small nuclear reactor. The cylinders in the picture represent the fuel rods containing uranium. Simulations like this help us deepen our understanding of how nuclear reactors work in order to design safer and more efficient reactors. Credit: Elia Merzari (Argonne National Laboratory)

The Art of Science Contest Entry (2013)

This picture shows a volume rendering of the turbulent flow in a tightly packed lattice of spheres or pebbles. Such geometries are considered for advanced nuclear reactor designs, but have a wide array of application. The next generation of computer codes (the SHARP toolkit) is being designed at Argonne to predict the behavior of advanced reactors: reducing the need for expensive experiments while pushing efficiency and safety to new frontiers. Credit: Elia Merzari (Argonne National Laboratory), Paul Ward (Texas A&M University)