Daniel Armstrong (@d_armstr) 's Twitter Profile
Daniel Armstrong

@d_armstr

PhD Candidate at LIAC, EPFL @SchwallerGroup.
GRILL Bot 2 team member, Amazon Alexa Prize 2nd Place.
🇬🇧 in 🇨🇭

ID: 1606988838483681281

calendar_today25-12-2022 12:24:16

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LIAC at EPFL (@schwallergroup) 's Twitter Profile Photo

Another great #Ellis workshop on ML for Molecular Discovery. Thanks to Günter Klambauer, Francesca Grisoni, and the whole organizing team! Proud of our team's contributions - 3 posters (Daniel Armstrong, Anna Kelmanson, Zlatko Jončev) and an excellent talk by Sarina Kopf! Very well done! #compchem

Another great #Ellis workshop on ML for Molecular Discovery. Thanks to <a href="/gklambauer/">Günter Klambauer</a>, <a href="/fra_grisoni/">Francesca Grisoni</a>,  and the whole organizing team!

Proud of our team's contributions - 3 posters (<a href="/d_armstr/">Daniel Armstrong</a>, <a href="/kelmannson/">Anna Kelmanson</a>, <a href="/ZJoncev/">Zlatko Jončev</a>) and an excellent talk by <a href="/SarinaKopf/">Sarina Kopf</a>! Very well done!
#compchem
Junwu Chen (@junwuchen25) 's Twitter Profile Photo

AdsMT is finally out in Nature Communications 🥳 It is designed for rapid prediction of global minimum adsorption energy (GMAE) from surface graphs and adsorbate descriptors. Thanks to Xu Huang , Philippe Schwaller (he/him) and NCCR Catalysis! Paper & code: nature.com/articles/s4146… LIAC at EPFL

Daniel Armstrong (@d_armstr) 's Twitter Profile Photo

Happy to present a poster of my work on starting material constrained synthesis planning, Tango*, in the AI4Materials workshop at #ICLR2025 in 🇸🇬 Thanks to collaborators Jeff Guo and Zlatko Jončev and my PI Philippe Schwaller (he/him)!

Nature Computational Science (@natcomputsci) 's Twitter Profile Photo

Out now! Philippe Schwaller (he/him), LIAC at EPFL, Loïc Roch, Víctor Sabanza Gil and colleagues provide guidelines and recommendations for when to use multi-fidelity Bayesian optimization over their single-fidelity counterparts nature.com/articles/s4358… 🔓rdcu.be/exyUh