BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:FAIRmat Seminar with Christopher Künneth
DTSTART:20260507T090000Z
DTEND:20260507T100000Z
DTSTAMP:20260420T184600Z
UID:indico-event-48@events.fairmat-nfdi.eu
CONTACT:fairmat-events@physik.hu-berlin.de
DESCRIPTION:Polymer Informatics Accelerates and Improves Polymer ScienceTh
 e FAIRmat Seminar series continues with a talk by Prof. Dr. Christopher K
 ünneth\, an assistant professor at the University of Bayreuth (UBT). Abs
 tract:Polymer informatics has become an increasingly important area in mat
 erials science and chemistry\, offering systematic pathways for the discov
 ery and design of polymers tailored to specific applications. While tradit
 ional computational methods encounter limitations when navigating the vast
  chemical space of polymer structures\, data-driven approaches provide a s
 calable and efficient alternative. In this seminar\, Prof. Künneth prese
 nts how machine learning models are directly applied to the prediction of 
 polymer properties and the design of bioplastics and organic battery mater
 ials. The presentation further showcases the role of chemical language mod
 els in this process and how it streamlines polymer discovery. The relevanc
 e of this research extends across multiple sectors. By accelerating the po
 lymer discovery and design process\, these computational pipelines can sup
 port continued development in areas ranging from sustainable materials to 
 energy storage. Furthermore\, the adaptability of this approach suggests i
 ts potential use for other complex material classes.\n\nhttps://events.fai
 rmat-nfdi.eu/event/48/
IMAGE;VALUE=URI:https://events.fairmat-nfdi.eu/event/48/logo-1943420652.pn
 g
LOCATION:2.049 (Center for the Science of Materials Berlin (CSMB))
URL:https://events.fairmat-nfdi.eu/event/48/
END:VEVENT
END:VCALENDAR