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 |
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| 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 |
| Aug 24, 2025 | New publication on automated training of ML interatomic potentials We have published a paper on our code autoplex together with Volker Deringer’s group at the University of Oxford. Please find the publication here: https://doi.org/10.1038/s41467-025-62510-6 |