How is machine learning improving computational fluid dynamics?

In this video we provide an overview of emerging trends for computational-fluid-dynamics (CFD) developments enabled by machine learning (ML)!
✅Article on perspectives: ieeexplore.ieee.org/abstract/...
✅Review paper on ML and CFD: www.nature.com/articles/s4358...
✅Article on autoencoders and transformers for reduced-order models (ROMs): www.nature.com/articles/s4146...
📽️ Video on autoencoders and transformers for reduced-order models (ROMs): • Predicting turbulence ...

[@alimohammadiqaragoez]

Such an informative video! 👍

[@rvinuesa]

Thank you!

[@Shamansdurx]

Brilliant, thank you.

[@rvinuesa]

Happy that you enjoyed it!

[@francesko1763]

Amazing!

[@rvinuesa]

Thank you!!

[@boluaygepong5920]

This is amazing

[@rvinuesa]

Thank you so much!

[@didarulhasansaharaj4396]

Can you suggest what should be the learning pathway for applying ML in CFD? Suppose one is a fresh mechanical engineering graduate and is not a tremendously expert in CFD but has basic understanding of CFD but not much expertise in AI/ML?

[@rvinuesa]

I think it is important to have a very strong foundation in fluid mechanics and CFD. Then you can dive into ML and apply methods from the fundamental understanding. Hope this helps!

[@personxy7443]

Could you recommend some important,typical paper about this?I would like to know more,thank you.

[@rvinuesa]

Have a look at this paper: www.nature.com/articles/s43588-022-00264-7

[@personxy7443]

@@rvinuesa thank you.

[@samial9784]

interesting