The purpose of this work is to explore the potential of deep reinforcement learning (DRL) as a black-box optimizer for turbulence model identification. For this, we consider a Reynolds-averaged Navier ...

If you were asked to picture how electrons move, you could be forgiven for imagining a stream of particles sluicing down a wire like water rushing through a pipe. After all, we often describe ...

The scale of the simulations on Frontier has reached such a point that we are within reach of experiments as far as the range of scales that can be simulated numerically or can be made to happen in ...