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Welcome to the website of the Chair of Physical Chemistry V: Theory and Machine Learning. We use machine learning (ML) to understand and predict chemical phenomena, such as the nature of complex reaction networks or the properties of new molecules and materials.
Johannes MARGRAF, PostDoc Position | Cited by 3,463 | of Fritz Haber Institute of the Max Planck Society, Berlin (FHI) | Read 104 publications | Contact Johannes MARGRAF
4 de oct. de 2023 · Prof. Dr. Johannes Margraf Joins University of Bayreuth as Professor. October 04, 2023. Prof. Dr. Johannes Margraf, a distinguished researcher and Group Leader at the Fritz-Haber-Institut der Max-Planck-Gesellschaft (FHI) in Berlin, has been appointed as a Professor at the University of Bayreuth. Prof.
20 de mar. de 2024 · El Prof. Dr. Johannes Margraf y un equipo de científicos han desarrollado un método prometedor para mejorar la eficacia de los electrocatalizadores. Mediante simulaciones e inteligencia artificial, los investigadores han desarrollado un programa informático capaz de optimizar simultáneamente varias propiedades del catalizador.
Prof. Margraf has taken up a professorship from the Hightech Agenda Bayern AI competition and is based at the Bavarian Centre for Battery Technology (BayBatt) in Weihererstraße at the University of Bayreuth. Prof. Dr Johannes Margraf will give his inaugural lecture on 18 January 2024 at 5 p.m. in H14 (NWI).
Johannes T. Margraf Tuning the reorganization energy of electron transfer in supramolecular ensembles -- metalloporphyrin, oligophenylenevinylenes, and fullerene -- and the impact on electron transfer kinetics
30 de oct. de 2020 · Johannes T. Margraf. Nature Communications 11, Article number: 5505 ( 2020 ) Cite this article. 28k Accesses. 99 Citations. 25 Altmetric. Metrics. Chemical compound space refers to the vast set...
