FAIRmat Seminar: Polymer Informatics Accelerates and Improves Polymer Science
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Consortium FAIRmat of NFDI
Zum Großen Windkanal 2,
12489 Berlin
Center for the Science of Materials Berlin (CSMB)
The FAIRmat Seminar series continues with a talk by Prof. Dr. Christopher Künneth (University of Bayreuth).
Polymer informatics has become an increasingly important area in materials science and chemistry, offering systematic pathways for the discovery and design of polymers tailored to specific applications. While traditional computational methods encounter limitations when navigating the vast chemical space of polymer structures, data-driven approaches provide a scalable and efficient alternative.
In this seminar, Prof. Künneth presents how machine learning models are directly applied to the prediction of polymer properties and the design of bioplastics and organic battery materials. He also highlights the role of chemical language models in streamlining this process. By accelerating the polymer discovery and design process, these computational pipelines can support continued development in areas ranging from sustainable materials to energy storage.
The seminar takes place at the Center for the Science of Materials Berlin and online. Online participation requires registration.
