IIRC there was some project doing more or less real-time weather forecasts for small areas (think airports and such) that used deep learning instead of traditional CFD style simulations. They were able to do it with several orders of magnitude less CPU usage than the CFD calculations.

But was it more accurate? Was it for the same purpose? Getting within a few percent of a CFD model might be good enough for industrial use. For studying systems (from the perspective of scientific investigation) it's not even close.

Of course it isn't which is why ML isn't used by us in the computational community...yet.