Made my day to find this delightful review of my book by the Institute of Mathematics and its Applications. My goal was indeed to take on the (impossible?) task to present "a complete picture of today’s computational science landscape" in a digestible way. https://t.co/C04qTn9eFV
New paper published in Physics of Fluids where we dissect the triple decomposition of the velocity gradient tensor and present a new efficient algorithm to compute it. https://t.co/IMXP13mRfD
I have now made lecture slides freely available for my SIAM book Methods in Computational Science (find through link "Bonus"). In the same GitHub repo also Jupyter notebooks implemented methods in the book are freely available. Enjoy!
https://t.co/d4n1lqkNUh
Kicked off the new EU project GENEX in Zaragoza last week. Will recruit one postdoc to work with me at KTH in this project. More information will follow!
https://t.co/laRuAuj5dr
@elonmusk Yes, and a good question is when AI generated rules/constrained vector spaces are ”general” physics (or social) laws or just local approximations to sampled training data. Another good question is how to express such AI generated laws in a condensed form (not as huge networks).