At the TechConnect Europe meeting in Malmö, Fedor will present a technical talk as well as an innovation pitch on Accelerated Materials Innovation Through Machine-Learning Assisted Atomistic Modeling.
By combining active learning with atomistic methods, millions of candidate materials can be screened on their desired properties. A new platform will be demonstrated with applications for OLED materials, as well as a roadmap for optimizing new materials for batteries, catalysis, and semiconductors.
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