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.
My views on Scientific Foundation models.
This is a fantastic opportunity to showcase and develop your expertise in Computational FSI in an international research environment at Edinburgh Napier University while collaborating with Swansea University (UK), Texas A&M (USA), MIT (USA), and UC3M (Spain).
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The role is available for 3 years.
Please check the details of the role and apply at jobs.napier.ac.uk/mthrprod_web...
Please send your informal queries, along with your CV, to c.kadapa@napier.ac.uk.
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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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Are there any opportunities to join your network's PhD supervisor team?
#AI for sustainability is like
#pollution for clean air
🤣🤣
Prospective candidates should apply through the Edinburgh Napier University application portal. The details of the application process are available at napier.ac.uk/research-and...
Please feel free to contact me at c.kadapa@napier.ac.uk if you have any queries/questions.
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The PhD candidate will work in my research group on developing cutting-edge computational methodologies for FSI problems with added multiphysics effects, feeding into the recently funded EPSRC project (while together working with PDRAs).
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Please share!
We are now accepting applications for the fully-funded PhD position (applicable worldwide) on Computational Methods for Fluid-Structure Interaction problems.
The details of the PhD studentship are available at
findaphd.com/phds/project...
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Grammarly got bad since they added AI. Its understanding of the context has gotten worse and often it keeps circling back to the original sentences after a few suggestions.
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!
That's true!
It's not about instant gratification. It's about keeping people engaged, especially at the start of the course.
A bad way to start a course on #HPC is to throw a bunch of slides with hardware & specifications at the audience and kill their enthusiasm for using the HPC.
Start with hands-on activities like accessing HPC and running some simple programs first. Then, show the hardware later.
There is a recent special issue on the history of CAD in Engineering. Check this if you find something interesting.
ieeexplore.ieee.org/xpl/tocresul...
I have not seen any great course on this.
But check these out. They seem to be okay.
www.youtube.com/playlist?lis...
www.youtube.com/playlist?lis...
It is probably better to refer to textbooks on the subject.
youtube.com/playlist?lis...
Check this course. There's another one on discrete differential geometry in his channel.
Both are excellent!
Just leaving this here 😭😭
This is beyond ridiculous!
Happy New Year, everyone! 🎉🍾
Learn more.
Publish less.
Help/guide/mentor others.
Special thanks to all those who helped me and supported me. 🙏🙏
#Happy2025
They simply want fast-paced reviews so they can publish more papers in a year.
Unfortunately, it's not but this trend was set by MDPI.
It's from Elsevier and is considered as one of the best journals in the field.
Quite a few Elsevier journals I know have 2-3 weeks of deadlines now.
It was a major revision. I rejected the original version. The EiC made the decision without my review for the revised version, in about 2 weeks.
Just yesterday an EiC emailed me saying that they no longer need my review, I accepted it on the 4th of December.
I am reluctant to accept the requests with 2 or 3 weeks for reviews.
Editors should have a serious talk with the publishers on the review times.
Solution of incompressible Navier-Stokes using block preconditioners.
www.sciencedirect.com/science/arti...
These are on FSI
link.springer.com/article/10.1...
arxiv.org/abs/1801.05648
www.sciencedirect.com/science/arti...
arxiv.org/pdf/1909.13201
www.sciencedirect.com/science/arti...
A know of a couple of papers on FSI. I will share later.
Yeah, for contact problems you don't have another option.
However, I would recommend you start with partitioned schemes.
For fluids and rigid solids, partitioned schemes are sufficient
www.sciencedirect.com/science/arti...
For other FSI problems with shells, immersed methods could be better.
Different methods work better for different problems.
Check field split technique available in Petsc for solving such block matrix systems.
You still need to do some experiments to find out the best combination.
petsc.org/release/manu...
