Chennakesava Kadapa
chennak.bsky.social
Chennakesava Kadapa
@chennak.bsky.social
Lecturer in Mechanical Engineering.
Open to collabs, supervision, KTPs & discussions on #FEM #CFD #FSI #HPC.

Views are my own.
A dummy's guide to Physics-Informed Neural Networks (PINNs).

There is really not that much to unpack in PINNs. Their popularity is a travesty of computational science and engineering.
Watch out for a short video series with tutorials and paper reviews.
July 26, 2025 at 3:04 PM
My views on Scientific Foundation models.
July 24, 2025 at 11:11 AM
We are hiring a postdoc researcher! Please share!

As the "Research Fellow in Computational Fluid-Structure Interaction", you will work on the MAPFSI project funded by the EPSRC, developing cutting-edge computational algorithms for challenging FSI problems.

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March 7, 2025 at 7:38 PM
They went from "data-driven" to "data-free" in a couple of years,
says data-free, but needs the desired solution at a finite number of points...
uses FEM as a replacement for automatic differentiation 🤣

they are circling back 😂

#SciML is crazily bonkers!
January 29, 2025 at 9:38 AM
Just leaving this here 😭😭

This is beyond ridiculous!
January 15, 2025 at 11:11 PM
Yes, they are trying every variation of FEM.
Recently, someone proposed Vational physics-informed neural operators by literally using weak forms as operators. :D

This 👇 is what I said, and this is exactly what is happening.
December 3, 2024 at 5:57 PM