Cool.  Or maybe use machine learning to invert the low-dimensional description 
of the phenomenon..

From: Friam <friam-boun...@redfish.com> On Behalf Of Roger Critchlow
Sent: Thursday, June 29, 2023 4:26 PM
To: The Friday Morning Applied Complexity Coffee Group <Friam@redfish.com>
Subject: [FRIAM] bespoke turbulence

I was going to post the University of Chicago press release, 
https://phys.org/news/2023-06-tempest-teacup-physicists-breakthrough-turbulence.html,
 but let it slide until this other article turned up, 
https://phys.org/news/2023-06-approach-properties-turbulence.html, the original 
report is paywalled at https://www.nature.com/articles/s41567-023-02052-0 with 
a paywalled editorial comment 
https://www.nature.com/articles/s41567-023-02054-y.

Oh, and there's also https://arxiv.org/abs/2211.00771.

So you put your fluid in a cubic reservoir with a vortex ring gun at each 
corner of the cube aimed at the center of the cube.  You can make free floating 
blobs of turbulence in the center of the reservoir by shooting combinations of 
vortex rings.  Vary the combinations of vortex rings and you vary the 
properties of the turbulent blob.  So for whatever varieties of turbulence you 
can synthesize and instrument, you now have an analog computer for finding 
properties and calibrating your digital simulations.

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