Contributions by role
Contributions by subject area
Johannes T Margraf
Summary
Johannes Margraf is a professor of theory and machine learning in physical chemistry at the University of Bayreuth. His group focuses on using and developing machine-learning and electronic structure methods to study chemical reactions and discover new functional materials. He obtained his PhD at the University of Erlangen, working with Timothy Clark and Dirk Guldi on the theoretical and experimental characterization of quantum dot solar cells. Subsequently he joined the group of Rodney Bartlett at the University of Florida working on method development in coupled cluster theory and single particle methods, and worked as a group leader at TU Munich and the Fritz Haber Institute in Berlin, in the theory department lead by Karsten Reuter.
Catalysis Data Mining & Machine Learning Theoretical & Computational Chemistry
Editorial Board Member
