Publications

Poul, M.; Huber, L.; Bitzek, E.; Neugebauer, J.: Systematic Structure Datasets for Machine Learning Potentials: Application to Moment Tensor Potentials of Magnesium and its Defects. Condensed Matter: Materials Science (2022)

Dsouza, R.; Huber, L.; Grabowski, B.; Neugebauer, J.: Approximating the impact of nuclear quantum effects on thermodynamic properties of crystalline solids by temperature remapping. Physical Review B 105 (18), 184111 (2022)

Bhuva, V.; Dang, D.-C.; Huber, L.; Sudholt, D.: Evolutionary Algorithms for Cardinality-Constrained Ising Models. In: Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022. Lecture Notes in Computer Science, Vol. 13399, pp. 456 - 469 (Eds. Rudolph, G.; Kononova, A. V.; Aguirre, H.; Kerschke, P.; Ochoa, G. et al.). (2022)