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!

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…

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

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 !

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.

📢 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

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! 🔥

Our collaborative work on machine-learning and DFT methods applied to the microscopic characterization of single atom catalysts is out Advanced Sci News Kevin Rossi Sharon Mitchell (she/her) TheorHetCat ICIQ NCCR Catalysis

onlinelibrary.wiley.com/doi/10.1002/ad…

Very excited to share our work on generative models for materials inverse design!

One of 2023's highlights! Congratulations to a great team, the publication version is online:
doi.org/10.1002/adma.2…
Javier Perez-Ramirez TheorHetCat ICIQ BSC-CNS @QMADClab Sharon Mitchell (she/her) Kevin Rossi

We have a 3-year Postdoc opening on data- and ML-driven modeling of metallic microstructures. If you are interested, please apply through the following link. RTs appreciated. 📢

TU Delft Materials Science Engineering

tudelft.nl/over-tu-delft/…

Zeni, Rossi et al. demonstrate how comittee-of-experts strategies - divide-and-conquer approaches which apply different models to different data domains - can create better machine learning interatomic potentials. Read their paper: doi.org/10.1039/D3DD00… #openaccess

Throwback time to when Claudio Zeni first presented our (@andrea_anelli , Aldo Glielmo , Stefano de Gironcoli) Divide-and-Conquer approach to fit Machine Learning potentials!
We discuss it in more detail in Digital Discovery : pubs.rsc.org/en/content/art… (just accepted🔥)

6 of 9 planetary boundaries have been transgressed!
👉science.org/doi/10.1126/sc…