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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
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.
4 de oct. de 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.
Johannes T. Margraf. expand_more. Works (50 of 55) Sort. Items per page: 50. Page 1 of 2. Active discovery of organic semiconductors. Nature Communications. 2021 | Journal article. Show more detail. Source : Johannes T. Margraf. Data-Efficient Machine Learning for Molecular Crystal Structure Prediction. Chemical Science. 2021 | Journal article.
4 de oct. de 2023 · Prof. Dr. Johannes Margraf, ein renommierter Forscher und Gruppenleiter am Fritz-Haber-Institut der Max-Planck-Gesellschaft (FHI) in Berlin, wurde zum Professor an der Universität Bayreuth ernannt. Die Zusammenarbeit von Prof. Dr. Margraf mit der Universität begann offiziell im September und markiert einen bedeutenden Schritt in seiner Karriere.
30 de oct. de 2020 · Johannes T. Margraf. Nature Communications 11, Article number: 5505 ( 2020 ) Cite this article. 27k Accesses. 97 Citations. 25 Altmetric. Metrics. Abstract. Chemical compound space refers to...