AI generated image 'digital assistant for chemists'

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.

News

Helmholtz Supports "SOL-AI" Foundation Model Project

As part of the Helmholtz-Foundation Model initative, Helmholtz supports our proposal to build a foundational model for photovoltaics.
2 May 2024

Image: Kevin Jablonka
Our research on the AI Podcast of ARD

Kevin spoke briefly about our research in the AI podcast of the German public broadcaster ARD.
2 May 2024

Image: Kevin Jablonka
GPT-3 for Chemical Research

Researchers at EPFL and the University of Jena Develop Fast and User-Friendly GPT-3 Model for Chemical Tasks
7 February 2024

Image: Jens Meyer (University of Jena)
New article about mentorship

Alongside members of the 2022 CAS FutureLeaders Kevin co-authored a paper on mentorship in chemistry.
10 January 2024

Image: Deng et al. ACS Cent. Sci. 2024
Kevin wins the Dimitris N. Chorafas Foundation award

The Dimitris N. Chorafas Foundation gives awards for exceptional work in specific fields in engineering sciences, medicine, and natural sciences
24 November 2023

Image: Alexander Tokarev
Kevin joins FAIRmat as leader of the Artificial-intelligence Toolkit

Kevin is now PI in the FAIRmat NFDI consortium and joined Task E7: Artificial-intelligence Toolkit as task leader.
24 November 2023

Image: FAIRmat