Sign up for SimTech_Stuttgart #summerschool on knowledge-driven #machinelearning with with George Em Karniadakis & Khemraj Shukla Brown University, Anja Butter & Tilman Plehn Uni Heidelberg, Pietro Faccioli Università di Trento, and @p_friederich KIT Karlsruhe Uni Stuttgart #AI #ML #PhD

Heute erhalten vier Forscherinnen und sechs Forscher den Heinz Maier-Leibnitz-Preis 2022👏 - die wichtigste deutsche Auszeichnung für Wissenschaftler:innen in frühen Karrierephasen. Ab 16 Uhr übertragen wir die Verleihung live 📺➡️youtube.com/user/DFGScienc…

See what's trending in Machine Learning: Science and Technology right now at bit.ly/3MfoXUS featuring articles by Alan Aspuru-Guzik Steven Brunton Frank Noe Mario Krenn Philippe Schwaller (he/him) Pascal Friederich Teodoro Laino Nong Artrith Johannes Kästner #machinelearning #AI #compchem #materials #quantum #physics

Super excited that our "On Scientific Understanding with Artificial Intelligence" is published in Nature Reviews Physics nature.com/articles/s4225… 🥳🤩🎶 With many amazing colleges&friends in Alan Aspuru-Guzik's lab University of Toronto Vector Institute Hope it inspires wild new directions in AI 4 science! 1/n

How can simulations and machine learning contribute to scientific understanding? Nature Reviews Physics nature.com/articles/s4225… with Mario Krenn Alan Aspuru-Guzik and many more!

#MRSFall2022 and #NeurIPS2022 in one week! After great AI sessions at the MRS meeting, I am now looking forward to NeurIPS and the #AI4Mat workshop! Who else is there? Materials Research Society (MRS) NeurIPS Conference

Register (soon!) for the 787. WE-Heraeus-Seminar on Accelerated Discovery of New Materials! we-heraeus-stiftung.de/veranstaltunge…

We are happy to invite Ukrainian students and researchers and beyond at the “European Chemistry School for Ukrainians”, which will be held online in May-June. We plan to involve 18 internationally renowned speakers from all around Europe: ecpsfu.org Please retweet!

The German-Canadian Materials Acceleration Center (GC-MAC) is organizing a Summer School on "MAPs for energy materials - Automated experiments, simulations and machine learning" (Karlsruhe, Germany, 18-22 Sept 2023) More information: gcmac.de/event/summer-s… Please forward and RT!

Interested in self-driving labs, automation & machine learning for energy materials? Apply for our #SummerSchool in Karlsruhe, 18-22 Sept! Registration, speakers, and more information: gcmac.de/event/summer-s… Apply soon: Early bird registration until July 20! Please share!

Thank you very much, 3D Matter Made to Order! I am looking forward to being part of the cluster and working with you all!

Excited for the upcoming #NGSE8 conference kicking off next week! 🚀 Don't miss out on the opportunity to join this event with amazing speakers such as: Pascal Friederich Aron Thomas Kirchartz Maria Antonietta Loi Sergei Kalinin Secure your spot now⤵️⤵️ 🔗ngse.info/ngse-8

Congratulations Timo Sommer! Looking forward to seeing the first paper of your PhD!

We are organizing a CZS Summer School about #MachineLearningInChemistry. 9-13 Sept KIT Karlsruhe, Germany. More information: aimat.science/ml4chem2024.php Speakers include Jörg Behler, Stephan Günnemann, Geemi Wellawatte, and many more! #MolecularDesign #MLPotentials #SelfDrivingLabs

Really excited to be at #CCSC2024! Looking forward to a great week of talks and discussions about exploring the chemical compound space!

Excited to share our #ICML2024 paper! We use active learning with conditional normalizing flows to perform efficient coarse-grained molecular simulations. More here: arxiv.org/abs/2402.01195 #MachineLearning #CompChem Who recognizes the image below? Likely the most accurate ever!