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Artificial Intelligence for Materials Science (AIMS) 2026

AIMS Workshop 2026
Credit: ©Shutterstock

AIMS is a workshop aimed at getting together experts from industry, academia, and government to facilitate highly technical dialogue on the intersection of AI and materials science. Some of the key research areas for materials AI that will be discussed at the meeting are: developing well-curated and diverse datasets, choosing effective representations for materials, inverse materials design, integrating autonomous experiments and theory, challenges and advantages of self-driving laboratories, merging physics-based models with AI models, and choosing appropriate algorithms/workflows. Lastly, uncertainty quantification in AI-based predictions for material properties and issues related to building infrastructure for disseminating AI knowledge are of immense importance for making AI-based materials investigation successful. This workshop is intended to cover all of these challenges.

Agenda coming soon

June 16, 2026 | 9:00am -5:30pm ET

June 17, 2026 | 8:30am - 4:00pm ET

NameAffiliation 
Aditi KrishnapriyanBerkeley
Akshay TalekarUL
Cate BrinsonDuke
Danish KhanCalTech
David ElbertJohns Hopkins
Deyu LuBrookhaven
Dung-Yi WuGE
Fei ZhouLLNL
Jason Hattrick-SimpersUniversity of Toronto
Jeff TingNanite
Jie XuArgonne
Josh SchrierFordham
Justin SmithNVIDIA
Keith TaskBASF
Linda HungToyota Research Institute
Michael TaylorLANL
Mitra TaheriJohns Hopkins
Nina AndrejevicArgonne
Peter BeaucageLila
Remi DingrevilleSandia
Stefano FallettaRadical AI
Tim ErdmannIBM
Tyler MartinNIST
Wesley ReinhartPenn State
William RatcliffNIST

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Created February 26, 2026, Updated March 5, 2026
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