Case School of Engineering's Department of Materials Science and Engineering hosts seventh Bi-Annual Winter Meeting
This January, over 20 visitors from several Department of Energy - National Nuclear Security Administration (DOE-NNSA) labs (Livermore, Los Alamos and Sandia) and production facilities (KCNSC and Y12), and from the AWE in the UK visited Case Western Reserve for the seventh Bi-Annual Winter Meeting for the NNSA’s Materials Data Science for Stockpile Stewardship (MDS^3) - Center of Excellence housed in the Materials Science and Engineering Department.
CWRU MDS^3 researchers presented a variety of topics related to materials data science and on how to make scientific data "AI-ready" to meet the challenges of the new AI era of science. This includes strategies such as using semantic web technologies, ontologies and knowledge graphs to make scientific data understandable to people and machines. This has lead to the development of the Materials Data Science Ontology () which enables scientists to FAIRify their datasets, analysis and models. This FAIR data is Findable, Accessible, Interoperable and Reusable, by both people and machines, and is the perfect "fuel" for AI-driven scientific advancement.
The meeting also included tours of think[box] and other EMSE labs, a poster reception, and demos of the many code packages and data science tools developed in MDS^3.
