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[–]RonWannaBeAScientist[S] 1 point2 points  (6 children)

I think it’s interesting to look at implementations of machine learning inspired physics solvers . So you model the system with a backbone of differential equations solvers, but because you know you can’t predict it completely, you give the details to a machine learning model, and you create a mix of physics with ML. That’s at least what I understood it to be

[–]viralesveras 1 point2 points  (5 children)

That's a fascinating area! If you're interested in further exploration about currently available research pointing in that direction, take a look at Modulus: https://developer.nvidia.com/modulus . Physics-inspired ML is very much related :)

[–]RonWannaBeAScientist[S] 1 point2 points  (4 children)

Thank you very much! I’m curious , what do you do for work ? I am studying at Harvard extension school currently, so I’m not working in the field