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Tuesday, January 26, 2021

Computing Turbulence with Competitive AI

 We used turbulence analysis in roasting applications. Could have used this as a means to do better predictions in simulations.

Intriguing application I had not seen yet.  

ETH Researchers Compute Turbulence With AI

ETH Zurich (Switzerland), Simone Ulmer, January 4, 2021

The modeling of turbulence has been automated by researchers at ETH Zurich in Switzerland by merging reinforcement learning (RL) algorithms with turbulent flow simulations on the Swiss National Supercomputing Centre's (CSCS) "Piz Daint" supercomputer. The two major approaches for simulating turbulent flows are direct numerical simulation (DNS) and large eddy simulation (LES). The researchers used artificial intelligence (AI) to determine the best turbulent closure models from DNS and apply them to LES. Their RL algorithm uses the grid points that resolve the flow field as AI agents, which observed thousands of flow simulations to learn turbulence closure models. Said ETH's Petros Koumoutsakos, "The machine 'wins' when it succeeds to match LES with DNS results, much like machines learning to play a game of chess or GO.” Koumoutsakos added that the new methodology “offers a new and powerful way to automate multiscale modeling and advance science through a judicious use of AI."

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