We democratize machine learning in materials science, making materials discovery, design, development, and deployment faster, more streamlined, and accessible.
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|📜||08.08.2023||Two more awesome papers by the group! About "polymer blend informatics" in MRS Bulletin and on "zwitterionic bioderived block copolymers" (with Meike Leiske) in Macromolecular Chemistry and Physics.|
|👥||01.08.2023||The Kuenneth group is now a member of the Bavarian Center for Battery Technology (BayBatt), Bayreuth Center for Material Science and Engineering (BayMAT), and Jena-Bayreuth Joint Lab for Polymers.|
|📜||18.07.2023||Check out this cool new paper and article of the group that's out in Nature Communications! Large language models are going to be game-changers in materials research.|
|🤗||17.07.2023||Ibrahim joins the group as a bachelor student. He's working on AutoML methods for polymer property predictions.|
|🔑||28.06.2023||Chris gives a keynote talk at the "Mineral-bonded composites for enhanced structural impact safety" in the beautiful city of Prague at the DFG GRK2250. https://www.grk2250.de/|
|🤗||01.06.2023||Nikita Agrawal joins the group as a master student. She's working on a molecule to polymer transfer learning project.|
|🖥||15.05.2023||Galadriel is the new GPU server of the Kuenneth Group and has 4 powerful A100 GPUs and 100 cores.|
|15.03.2023||Chris joins UBT and establishes the Kuenneth group.|