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Our collaborative work on machine-learning and DFT methods applied to the microscopic characterization of single atom catalysts is out @AdvSciNews Kevin Rossi Sharon Mitchell (she/her) TheorHetCat ICIQ NCCR Catalysis onlinelibrary.wiley.com/doi/10.1002/ad…

It's been a great honor for me and Federico Grasselli to host #DAEMON members in Rome. Great discussions, brilliant idea, and fertile interactions among academics, industry, start-ups, and investors... we have just started! 🔥

📢 Join us for the Workshop on "Machine Learning Modalities for Materials Science" at Jožef Stefan Institute, Ljubljana, Slovenia, May 13-17, 2024! Financially supported by TAILOR #CF. Submit your abstracts by Feb 29, 2024. Learn more: ml4ms.ijs.si

In data-driven materials science, do we need a Europe-wide conversation on community standards for code, data and workflows, as well as materials representations and algorithms? I think yes. The cost-daemon.eu meeting in Rome started that conversation. You can join, too.

Machine Learning modalities for Materials Science ; Ljubljana, Slovenia, 13-15/05/2024 - Join us for a fantastic event, deadline for oral submission in 10 days! ⏳ No registration fees thanks to the support of COST Psi-k CECAM TAILOR EU Network MaX CoE !

You can spent the summertime with us! #daemoncost #ml4m Machine Learning in Chemistry Psi-k CECAM GEFES RSEF #bojosxquimica #bojosxsupercomputacio ELLIS

In addition to that 👆, Dr. Kevin Rossi TU Delft Materials Science Engineering will shortly introduce DAEMON COST, the European network on #MachineLearning for #materials design. 📢 Workshop on the Role of Machine Learning in Molecular Discovery 🗓️ 21 March 2024 🌐 4tu.nl/htm/joint-mate… 13/

Huge thanks to the organizers for putting this together. It was a super high quality 1 day symposium with a mix of ML, physics, chemistry and biology. What an exciting field. Enjoyed every single talk!

Materials Week (13-17 May) is a week in which TU Delft shows what it does in the field of critical raw materials. Check the website for #materialsscience stories & events! 🌐 tudelft.nl/kritieke-grond… 🔗 linkedin.com/posts/dave-boo… @DaveBoomkens Behnam Taebi Benjamin Sprecher Kevin Rossi

Our Machine Learning Modalities for Materials Science starts with a blast! Prof. Lilo Pozzo introducing us to open-science laboratory automation for AI-accelerated materials research ad optimization 🦾💥 #ml4ms #daemoncost

And all set for Jubilee lab automation platform live demonstration by Brenden Pelkie 🤩 #ml4ms #daemoncost

Time to wrap-up the morning session of the #ML4MS, inspiring talks on automated characterization, Engineering of science, machine learning in catalysis, and materials discovery !

Concluding afternoon, and morning session of the #ml4ms workshop, fantastic presentations at the interface of chemistry, materials, AI4science, and multimodal machine learning. Thank you again to all the participants for this exciting event! #Daemon #cost

One month left to the Early registration deadline at #MATSUS24 nanoGeConferences, from 12th to 15th of November 2024! #ModElOp symposium organizers: Kevin Rossi (TU Delft ) and myself (Politecnico di Torino, Marie Skłodowska-Curie Actions #SuPERCO2) Link for registration: nanoge.org/MATSUSFall24/h… 1/7

Best of atomistic machine learning list, major update. 60 new projects added. Seven universal potentials enter the list, along with an equal share of new generative, active learning, and electronic structure models, datasets and community resources. go.fzj.de/baml