DigiMatChem

Digital Materials Chemistry is a newly established division in the Materials Chemistry Department at the Bundesanstalt für Materialforschung und prüfung (BAM), Berlin led by Prof. Dr. Janine George. It combines traditional materials science methods with modern digital tools for more efficient, sustainable, and targeted material development. Some of us are affiliated with the University of Jena. Prof. Dr. Janine George is Professor of Materials Informatics there.

news

Dec 15, 2025 New preprint on assessing novelty and quality of crystal structures generated by generative models.
We developed a distributional metric for evaluating material generative models. It is based on the theory of optimal transport. The metric captures both novelty and quality of the generated structures. Find the preprint here: https://arxiv.org/abs/2512.09514
Oct 31, 2025 New preprint predicting and understanding thermal conductivities of sulfur-based argyrodites
We studied Ag₈TS₆ (T = Si, Ge, Sn) argyrodites using two modeling approaches—a Grüneisen-based phonon lifetime model and machine-learned interatomic potentials—to predict lattice thermal cond[…] Find the preprint here: https://doi.org/10.48550/arXiv.2510.23133
Sep 01, 2025 Namrata Jaykhedkar joins our group as an Adolf Martens fellow!!
Namrata started to work as an Adolf Martens fellow in our group. This fellowship is a postdoc fellowship awarded by BAM. She will work on appyling ML interatomic potentials to battery materials!
Aug 31, 2025 New preprint on magnetism heuristics in machine learning
We have published a preprint on magnetism heuristics in machine learning of magnetic properties. We show that bond angles are indeed important for magnetic properties. Please take a look at the preprint here: https://doi.org/10.26434/chemrxiv-2025-xj84d
Aug 31, 2025 Janine gave a talk in the FAIRMAT seminar series.
Janine gave a talk in the FAIRMAT seminar series covering automated DFT, heuristics, and machine learning approaches: https://www.youtube.com/watch?v=Sfco48s1fpU