Heinz Maier-Leibnitz Prize Goes to Pascal Friederich
The Research Field Information congratulates the Karlsruhe researcher, Pascal Friederich, on being awarded the Heinz Maier-Leibnitz Prize, the most important award for young scientists in Germany.
Pascal Friederich, Tenure-track Professor at Karlsruhe Institute of Technology (KIT) and member of the Joint Lab Virtual Materials Design (VMD) of the Helmholtz Research Field Information, is awarded the Heinz Maier-Leibnitz Prize of the German Research Foundation (DFG). The prize in the amount of EUR 20,000 is the most important recognition of early-career researchers in Germany. Pascal Friederich’s interdisciplinary work concentrates on the use of artificial intelligence for the simulation of materials, virtual materials design, and autonomous experimental platforms for automatic materials recognition. (Source: Karlsruhe Institute of Technology – Press Releases)
“Requirements to be met by new, highly performing materials – may it be for efficient energy storage systems or for applications in medicine – are further increasing. At the same time, development times have to be shortened. Tenure-track Professor Pascal Friederich takes on this challenge and perfectly combines machine learning methods with materials sciences,” says the President of KIT, Professor Holger Hanselka. “The Leibnitz Prize is a great recognition of his outstanding work. We are proud and very happy!”
DFG awards the Heinz Maier-Leibnitz Prize to early-career researchers in recognition of their outstanding achievements. The prize in the amount of EUR 20,000 is supposed to assist the researchers in furthering their scientific careers. In 2022, the Leibnitz Prize is awarded to ten researchers. It is named after physicist Professor Heinz Maier-Leibnitz, DFG President from 1974 to 1979.
Increasing Demand for High-performance Materials
Pascal Friederich is Tenure-track Professor at KIT’s Institute of Theoretical Informatics (ITI) and associated group leader at the Institute of Nanotechnology (INT). He heads the research group AiMat (Artificial Intelligence for Materials Sciences) for data-based prognosis of materials properties, computer-based materials design, use of machine learning methods to simulate materials on the atomic scale, and direct combination of artificial intelligence methods with laboratory experiments. He is also a member of the Joint Lab Virtual Materials Design (VMD) of the Helmholtz Research Field Information. In view of the increasing demand for highly performing materials and the large range of applications, these topics are gaining importance.
After he received his bachelor’s and master’s degrees in physics at KIT, Pascal Friederich, within the framework of his doctorate at KIT, developed a new method to compute materials properties of organic semiconductors. This will enable the design of novel organic semiconductors. He conducted research at Georgia Institute of Technology / USA and as a Marie Curie Fellow at Harvard University / USA and the University of Toronto / Canada, where he worked on the development of machine learning methods for various disciplines. Friederich is author of numerous publications in renowned scientific journals.
About Pascal Friederich’s Research:
Einsatz Künstlicher Intelligenz bei der Entwicklung metall-organischer Gerüstverbindungen (use of artificial intelligence for the development of metal-organic frameworks, KIT News relating to a publication in Angewandte Chemie): https://www.kit.edu/kit/30310.php (in German)
Machine Learning for Faster and More Accurate Simulations of Materials (KIT Press Release relating to a publication in Nature Materials): https://www.kit.edu/kit/english/pi_2021_049_machine-learning-speeds-up-simulations-in-material-science.php
About the Joint Lab Virtual Material Design (VMD):
The Joint Lab Virtual Materials Design (JL VMD) is laying the foundation for a Helmholtz platform for the virtualization of materials research, which will continuously be expanded. This platform is established by KIT, FZJ, Hereon, and HZB to support the development of materials with computational methods. This includes the development and maintenance of in-house codes for ab-inito simulations (Fleur, FZJ), molecular dynamics and work flows (KIT), and multiphysics simulations (4C, Hereon). In cases, where a purely theory-based numerical approach is not feasible, the spectrum of methods is complemented by data-driven methods and machine learning. The activities of the JL VMD can be categorized into software development and the development of digital twins for an evolving set of applications. (Source: KIT – Press Releases)
The original publication can be found at:
Heinz Maier-Leibnitz Prize Goes to Pascal Friederich
Localization in the Helmholtz Research Field Information:
Helmholtz Research Field Information, Joint Lab Virtual Material Design (VMD)
Contact:
Jun.-Prof. Dr. Pascal Friederich
Associated Group Leader AI for Material Science at the Institut for Nanotechnology (INT) and Head of the Research Group AiMat (Artificial Intelligence for Materials Sciences) at the Karlsruher Institute for Technology (KIT)
Tel.: +49 721 608-44764
E-Mail: pascal.friederich@kit.edu
Contact for this press release:
Margarete Lehné
Press Officer
Karlsruher Institute for Technology (KIT)
Phone: +49 721 608-41157
E-Mail: margarete.lehne@kit.edu
