2 citations · 2 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2026★ 2 cited
Scalar machine learning of tensorial quantities -- Born effective charges from monopole models
Bernhard Schmiedmayer, Angela Rittsteuer, Tobias Hilpert +1
Predicting tensorial properties with machine learning models typically requires carefully designed tensorial descriptors. In this work, we introduce an alternative strategy for lea…
physics.chem-ph2026
Accurate Thermophysical Properties of Water using Machine-Learned Potentials
Tobias Hilpert, Georg Kresse
Simulating water from first principles remains a significant computational challenge due to the slow dynamics of the underlying system. Although machine-learned interatomic potenti…