Welcome to the CZS Research Group "Polymers in Energy Applications"
We use data-driven techniques to design polymers.
AI generated image 'digital assistant for chemists'
Image: Kevin Maik Jablonka
Our group applies data-driven techniques to find materials that work in the real world. For this, we develop and apply novel machine learning techniques which we test in close collaboration with experimental partners.
A particular focus of our work is on polymers for energy applications.
The paper summarizing the insights of an LLM Hackathon that has been co-organized by Kevin has been published in Digital Discovery. Kevin led the writeup with 53 authors from 22 different institutions in 8 countries.
Kevin Jablonka gave a keynote lecture at the 9th Conference of the Federation of European Zeolite Associations (FEZA 2023). The title of the talk was "Big-data in porous materials: science beyond understanding"