activity
20242026
collaborators

8 papers

physics.chem-ph2026

Quantum nuclear and band-dispersion effects recover near-UV absorption in short-hydrogen-bonded organic crystals

Jonas Hänseroth, Max Großmann, Malte Grunert +4

Near-UV optical absorption is increasingly reported in hydrogen-bonded organic and biomolecular materials lacking aromatic or extended pi-conjugated chromophores, yet its microscop…

physics.chem-ph2026

High-throughput screening and mechanistic insights into solid acid proton conductors

Jonas Hänseroth, Max Großmann, Malte Grunert +2

Proton-conducting solid acids could enable water-free operation of high-temperature fuel cells. However, systematic materials screening has, hitherto, been computationally prohibit…

cond-mat.mtrl-sci2026

Broken neural scaling laws in materials science

Max Großmann, Max Großmann, Malte Grunert +1

In materials science, data are scarce and expensive to generate, whether computationally or experimentally. Therefore, it is crucial to identify how model performance scales with d…

cond-mat.mtrl-sci2025

Many-body perturbation theory vs. density functional theory: A systematic benchmark for band gaps of solids

Max Großmann, Marc Thieme, Malte Grunert +1

We benchmark many-body perturbation theory against density functional theory (DFT) for the band gaps of solids. We systematically compare four variants using…

cond-mat.mtrl-sci2025

On the origin of bulk-related anisotropies in surface optical spectra

Max Großmann, Kai Daniel Hanke, Chris Yannic Bohlemann +4

Reflection anisotropy spectroscopy (RAS) is a powerful method for probing the optical properties of surfaces, used routinely in research and industrial applications, yet the origin…

cond-mat.mtrl-sci2025

Discovery of sustainable energy materials via the machine-learned material space

Malte Grunert, Max Großmann, Erich Runge

Does a machine learning model actually gain an understanding of the material space? We answer this question in the affirmative on the example of the OptiMate model, a graph attenti…