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. https://t.co/MGckjnWvbm
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
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 !
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
Materials Week (13-17 May) is a week in which @tudelft shows what it does in the field of critical raw materials. Check the website for #materialsscience stories & events!
🌐 https://t.co/igvvg0iBht
🔗 https://t.co/aLoNkqEX0x
@DaveBoomkens @BehnamTaebi@SprechlerB@_RossiKevin
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 @MSETUDELFT will shortly introduce DAEMON @COSTprogramme, the European network on #MachineLearning for #materials design.
📢 Workshop on the Role of Machine Learning in Molecular Discovery
🗓️ 21 March 2024
🌐 https://t.co/HA6csXDfgf
13/
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 @COSTprogramme@Psik_Network@cecamEvents@eu_tailor@max_center2 !
Text, Images, Performance Metrics, are integral to understanding materials properties!
How can we then nurture an holistic perspective in machine learning methods for materials design ?
Join our workshop to develop this discussion! https://t.co/1zDbfLOHUu Ljubljana 13-15/05/2024
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 https://t.co/a9X74edPED meeting in Rome started that conversation. You can join, too.
@ilmessaggeroit@COSTprogramme For an overview of DAEMON activities in the future, also check out our website (partly work in progress ⏳): https://t.co/uUSGMmSR7G
DAEMON COST in the news: our first event attracted the attention of Italian newspapers! Thanks to all the team for such a vibrant event 🤩
Academia, Industry, Investors, Societal Stakeholders join forces for a safe and sustainable future!
https://t.co/I0v2MbbkZM @ilmessaggeroit
For a more personal discussion on the professional pathway me and @FedericoGrass have been pursuing, and in relation to DAEMON COST, you can also visit (paywalled): https://t.co/BQSkL9YowB
📢 Join us for the Workshop on "Machine Learning Modalities for Materials Science" at @JSI_SLO, Ljubljana, Slovenia, May 13-17, 2024! Financially supported by TAILOR #CF.
Submit your abstracts by Feb 29, 2024. Learn more: https://t.co/cNXJ7ZPWC7
It's been a great honor for me and @FedericoGrass to host #DAEMON members in Rome. Great discussions, brilliant idea, and fertile interactions among academics, industry, start-ups, and investors... we have just started! 🔥
Text, Images, Performance Metrics, are integral to understanding materials properties!
How can we then nurture an holistic perspective in machine learning methods for materials design ?
Join our workshop to develop this discussion! https://t.co/1zDbfLOHUu Ljubljana 13-15/05/2024