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26 de ene. de 2023 · DOI: 10.1038/s41929-022-00896-y Corpus ID: 256322486; Exploring catalytic reaction networks with machine learning @article{Margraf2023ExploringCR, title={Exploring catalytic reaction networks with machine learning}, author={Johannes T. Margraf and Hyunwook Jung and Christoph Scheurer and Karsten Reuter}, journal={Nature Catalysis}, year={2023}, volume={6}, pages={112-121}, url={https://api ...
28 de nov. de 2020 · Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules. Johannes Gasteiger, Shankari Giri, Johannes T. Margraf, Stephan Günnemann. Many important tasks in chemistry revolve around molecules during reactions. This requires predictions far from the equilibrium, while most recent work in machine learning for ...
27 de oct. de 2022 · Johannes Margraf boosted. Jan 31 * Mark A. {FalconMarkSix} @FalconMarkSix@tech.lgbt @ selzero If anyone wants to read more about the bug, how it was fixed ...
19 de dic. de 2016 · Johannes T. Margraf - Department of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Butenandtstraße 5-13, 81377 Munich, Germany; Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom; Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Computer-Chemie-Centrum, Nägelsbachstraße 25, 91052 Erlangen, Germany
Studied psychology (Brussels, Kiel, Tübingen 1976-1983)), research scholar (Stanford University 1983-1986), PhD (Tübingen 1986), professor in Berlin, Dresden, Basel and Bochum (1992-present ...
10 de mar. de 2023 · Johannes Margraf. margraf@fhi.mpg.de; Fritz-Haber-Institut der MPG Berlin: Fritz-Haber-Institut der Max-Planck-Gesellschaft, Theory, Faradayweg 4-6, Berlin, GERMANY. Search for more papers by this author
Kontakt; ERef Leitlinien; Neueste Einträge Institutionen der Universität Bayreuth Lehrstuhl Künstliche Intelligenz in der physiko-chemischen Materialanalytik - Univ.-Prof. Dr. Johannes Theo Margraf
