2 citations · 2 across the 2 of their papers we have counts for
4 papers
Improving turbulence control through explainable deep learning
Miguel Beneitez, Andres Cremades, Luca Guastoni +1
Turbulent-flow control aims to develop strategies that effectively manipulate fluid systems, such as the reduction of drag in transportation and enhancing energy efficiency, both c…
Elasto-inertial transitions in viscoelastic flows through cylinder arrays
Jack R. C. King, Henry M. Broadley, Miguel Beneitez
For dilute solutions of polymers, chaotic flow states can occur at lower Reynolds numbers than required for inertial turbulence in Newtonian fluids, offering the potential for incr…
Linear instability in planar viscoelastic Taylor-Couette flow with and without explicit polymer diffusion
Miguel Beneitez, Soufiane Mrini, Rich R. Kerswell
Elastic turbulence has been found in computations of planar viscoelastic Taylor-Couette flow using the Oldroyd-B model, apparently generated by a linear instability (van Buel et al…
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana, Michael McCabe, Lucas Meyer +24
Machine learning based surrogate models offer researchers powerful tools for accelerating simulation-based workflows. However, as standard datasets in this space often cover small…