Johan Hoffman
212 posts
Johan Hoffman
@johanhoffman
Creativity in any shape or form. Professor at @KTHuniversity, founder of the @fenicsproject. Various theatre and music projects.
Stockholm Katılım Ekim 2010
387 Takip Edilen214 Takipçiler
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. ima.org.uk/23100/methods-…
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New psychedelic folk rock waltz out today, enjoy!
open.spotify.com/track/1dl9vbiQ…
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Johan Hoffman - Never Be Afraid distrokid.com/hyperfollow/jo…
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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. linkedin.com/posts/professo…
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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!
my.siam.org/Store/Product/…
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New single from my upcoming album. Have a great day everyone! open.spotify.com/album/7dwOpCl7…
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Just released the first single of my upcoming album. open.spotify.com/album/67aRqRUL…
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We now open a two year postdoc position at KTH in my group. Please contact me for any questions, and spread the word! kth.se/en/om/work-at-…
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Johan Hoffman retweetledi
🗞️The first article about GENEX on EASN Newsletter platform is out !
Read it: bit.ly/3CZXdAR✅
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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!
linkedin.com/posts/activity…
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Just released a single on Spotify. Have a great weekend! open.spotify.com/album/4vMtis9u…
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Johan Hoffman retweetledi
Un peu de rock, une mélodie lente et entrainante.
youtube.com/watch?v=GLMe19…
#IndieRock
YouTube
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I just released an album. Happy new year!
open.spotify.com/album/6JEin0jF…
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@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).
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