marcel ⊙
@marceldotsci
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Trying to build better machine-learning surrogate models for DFT. Postdoc @lab_cosmo 👨🏻🚀.
Lausanne, Switzerland
Joined November 2019
Our (@spozdn & @MicheleCeriotti) recent work on testing the impacts of using approximate, rather than exact, rotational invariance in a machine-learning interatomic potential of water has been published by @MLSTjournal! We find that, for bulk water, approximate invariance is ok..
Great new work by @marceldotsci @spozdn @MicheleCeriotti @lab_COSMO @nccr_marvel @EPFL_en - 'Probing the effects of broken symmetries in #machinelearning' - #compchem #materials #statphys #molecules #compphys #simulation #atomistic
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we're having an interesting seminar next tuesday on equivariance in deep ensembles, for the EPFL squad:
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the recording of the talk i gave a while back about the "invariance is easy to learn" paper with @spozdn and @MicheleCeriotti is out!
We hosted a webinar series all about unlocking the future of #AI in materials science, and we’ve added the recordings to YouTube for anyone who wasn’t able to attend. Check out episode 1 here, hosted by @marceldotsci and Jonathan Schmidt:
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apparently there is a race condition in the shutdown procedure 😔
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just so you know, i have the same user name on the blue butterfly place… the recommendation engine here is not really catering to the needs of a science account 🫨
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imho a great failure of academia that we didn't manage to retain florian. godspeed and good luck in your new endeavours!
📣 Sad news: After 8 incredibly exciting years, I have paused my academic career with the beginning of this year. Tomorrow, I will start a new professional life in industry. Wish me luck! Also, this is not my last tweet as there are some remaining projects in the pipeline 🙂
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eyyyyyy 👀
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