155 citations · 1.7k across the 71 of their papers we have counts for
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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…
Early turbulence in viscoelastic flow past a periodic cylinder array
Lu Zhu, Rich R. Kerswell
Early turbulence in periodic cylinder arrays is of particular interest in many practical applications to enhance mixing and material/heat exchange. In this study, we reveal a new e…
Revisiting 2D Viscoelastic Kolmogorov Flow: A Centre-mode-driven transition
Theo Lewy, Rich Kerswell
We revisit viscoelastic Kolmogorov flow to show that the elastic linear instability of an Oldroyd-B fluid at vanishing Reynolds numbers () found by Boffetta et al. (J. Fluid Me…
Transition route to elastic and elasto-inertial turbulence in polymer channel flows
Miguel Beneitez, Jacob Page, Yves Dubief +1
Viscoelastic shear flows support additional chaotic states beyond simple Newtonian turbulence. In vanishing Reynolds number flows, the nonlinearity in the polymer evolution equatio…
Weakening the effect of boundaries: `diffusion-free' boundary conditions as a `do least harm' alternative to Neumann
Yufeng Lin, Rich Kerswell
In this note, we discuss a poorly known alternative boundary condition to the usual Neumann or `stress-free' boundary condition typically used to weaken boundary layers when diffus…
Godunov Loss Functions for Modelling of Hyperbolic Conservation Laws
R. G. Cassia, R. R. Kerswell
Machine learning techniques are being used as an alternative to traditional numerical discretization methods for solving hyperbolic partial differential equations (PDEs) relevant t…