진학프로석·박사 채용 접수 플랫폼

The Dresden-concept Research Group “Autonomous Materials Thermodynamics” of Dr. Rico Friedrich at the Chair of Theoretical Chemistry at TU Dresden and Helmholtz-Zentrum Dresden-Rossendorf, Germany has an opening for a two year postdoctoral position on “Data-driven Design of Novel Two-dimensional and Ionic High-entropy Compounds” starting as soon as possible. The group focuses on the data-driven design of various technology relevant nano-scale (two-dimensional) as well as ionic materials such as oxides in conjunction with method development on predicting thermodynamic stability utilizing machine learning. 

The project aims at developing and employing data-driven and density-functional based methods for designing novel (i) two-dimensional and (ii) ionic high-entropy compounds. The successful candidates will leverage dedicated ab initio and machine learning techniques for thermodynamic and electronic analysis. An accurate description of thermodynamic stability is crucial for materials design especially for ionic systems such as oxides. While currently used density functional approaches have limited predictive power, the candidate will develop a novel universal data-driven method combining the merits of previous correction schemes and machine learning to design ionic high-entropy and novel two-dimensional materials and their electronic and magnetic
properties. 

The work will be carried out in close collaboration with various local and international partners necessitating a strong commitment to scientific communication and networking.

The opening is related to our previous works on designing 2D non-van der Waals materials and high-entropy ceramics:

- R. Friedrich, D. Usanmaz, C. Oses, A. Supka, M. Fornari, M. Buongiorno Nardelli, C. Toher, and S. Curtarolo, Coordination corrected ab initio formation enthalpies, Nature Partner Journal Computational Materials 5, 59 (2019). https://doi.org/10.1038/s41524-019-0192-1

- S. Divilov, H. Eckert, D. Hicks, et al., Disordered enthalpy–entropy descriptor for high-entropy ceramics discovery, Nature 625, 66–73 (2024). https://doi.org/10.1038/s41586-023-06786-y

- 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). https://doi.org/10.1021/acs.nanolett.1c03841

- T. Barnowsky, S. Curtarolo, A. V. Krasheninnikov, T. Heine, and R. Friedrich, Magnetic State Control of Non-van der Waals 2D Materials by Hydrogenation, Nano Letters 24, 3874 (2024). https://doi.org/10.1021/acs.nanolett.3c04777

A comprehensive overview of the research and publications of the group can be found at https://hzdr.de/automatlab.