Katharina works on high-throughput evaluation of heuristics in chemistry and physics via automated analysis. Furthermore, she applies machine learning techniques to predict magnetic properties of solid-state materials.

Interests

Relationships between crystal structure and magnetic properties

CV

• Jan 2024 - Present: PhD Student of “Computational Materials Design Group” at the Federal Institute for Materials Research and Testing (tutelage of Prof. Dr. Janine George)
• Oct 2020 - Oct 2023: MSc in Chemistry at Leipzig University
• Mar 2023 - Sep 2023: Student research assistent of “Computational Materials Design Group” at the Federal Institute for Materials Research and Testing (tutelage of Prof. Dr. Janine George)
• Jul 2022 - Sep 2022: Research assistant at Max Planck Institute for Chemical Physics of Solids, Chemical Metals Science department
• Oct 2017 - Oct 2020: BSc in Chemistry at Leipzig University

Publications

1. Can simple exchange heuristics guide us in predicting magnetic properties of solids?
2. Incommensurately Modulated $Cu_{0.9}Pb_{1.2}Sb_{2.9}Se_{6}$ in the Lillianite Structure Type
3. High-pressure high-temperature preparation of $CeGe_3$
4. Synthesis, Structure, and Surface Adsorption Characteristics of a Polynuclear $Mn^{II,IV}–Yb^{III}$ Complex

Contact

• Email : katharina.ueltzen(at)bam.de
• LinkedIn : katharina-ueltzen