Regular biography
Prof. Kjell Jorner is a Professor in the Department of Chemistry at ETH Zurich. His research focuses on ICB | Digital Chemistry. Prof. Jorner's work is accessible through his profile page at https://chab.ethz.ch/en/research/faculty/person-detail.kjorner.html.
Scholar-generated biography
Kjell Jorner is an Assistant Professor of Digital Chemistry at ETH Zurich, specializing in the intersection of chemistry, machine learning, and computational methods. His research focuses on catalysis, computational chemistry, and the development of predictive models for chemical reactions. Jorner's work includes the application of machine learning to mechanistic modeling, enabling accurate predictions of activation energies and reactivity patterns. He has also explored the use of graph neural networks for the rapid evaluation of molecular adsorption energies and the design of organophosphorus ligands for catalytic systems. His research emphasizes the integration of artificial intelligence into chemical synthesis planning and molecular design, with a focus on aromaticity, excited-state properties, and photochemical reactivity.