"Autonomous Materials Thermodynamics – AutoMaT" – Rico Friedrich's Lab
Any technology relies on a specific materials platform. As such, information technology is based on silicon and modern batteries are made of lithium compounds. The "Autonomous Materials Thermodynamics - AutoMaT" lab focuses on the self-guided, data-driven computational design of two-dimensional (2D) materials and high-entropy compounds for applications in information technology and the energy sector.
We leverage and develop state-of-the-art computational materials science methods and target three main research directions:
- The discovery and design of 2D non-van der Waals materials - an emerging class of nanoscale compounds with qualitatively new electronic and magnetic features.
- The data-driven modelling and prediction of novel high-entropy ceramics based on maximizing entropy instead of minimizing enthalpy.
- Computational method development for the accurate description of ionic materials as provided by the coordination corrected enthalpies method.
The DRESDEN-concept Research Group AutoMaT is jointly run by the Chair of Theoretical Chemistry at TU Dresden and the Helmholtz-Zentrum Dresden-Rossendorf. DRESDEN-concept is the research alliance of TU Dresden and the Dresden-based non-university research as well as cultural institutions.
Selected Publications
| 1. | T. Barnowsky, S. Curtarolo, A. V. Krasheninnikov, T. Heine, and R. Friedrich, Magnetic State Control of Non-van der Waals 2D Materials by Hydrogenation Front cover article. Nano Letters 24, 3874 (2024). DOI: 10.1021/acs.nanolett.3c04777 |
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| 2. | S. Divilov, H. Eckert, D. Hicks, C. Oses, C. Toher, R. Friedrich, M. Esters, M. J. Mehl, A. C. Zettel, Y. Lederer, E. Zurek, J.-P. Maria, D. W. Brenner, X. Campilongo, S. Filipovic, W. G. Fahrenholtz, C. J. Ryan, C. M. DeSalle, R. J. Crealese, D. E. Wolfe, A. Calzolari, and S. Curtarolo, Disordered enthalpy-entropy descriptor for high-entropy ceramics discovery Nature 625, 66 (2024). DOI: 10.1038/s41586-023-06786-y |
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| 3. | R. Friedrich, M. Ghorbani-Asl, S. Curtarolo, and A. V. Krasheninnikov, Data-Driven Quest for Two-Dimensional Non-van der Waals Materials Nano Letters 22, 989 (2022). DOI: 10.1021/acs.nanolett.1c03841 |
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Jobs
The AutoMaT group has frequent openings for PhD and Postdoc positions for individuals interested in data-driven/computational materials design, 2D materials, high-entropy systems, materials thermodynamics, and magnetism.Interested candidates are encouraged to submit their application documents to r.friedrich@hzdr.de
Contact: Dr. Rico Friedrich
Institute of Ion Beam Physics and Materials Research at HZDR
Phone: +49 351 260 3718 | Email: r.friedrich@hzdr.de
