Publications of Sina Stocker

Journal Article (3)

2023
Journal Article
Stocker, S., H. Jung, G. Csányi, C.F. Goldsmith, K. Reuter and J. Margraf: Estimating Free Energy Barriers for Heterogeneous Catalytic Reactions with Machine Learning Potentials and Umbrella Integration. Journal of Chemical Theory and Computation 19 (19), 6796–6804 (2023).
Journal Article
Jung, H., L. Sauerland, S. Stocker, K. Reuter and J. Margraf: Machine-learning driven global optimization of surface adsorbate geometries. npj Computational Materials 9, 114 (2023).
2022
Journal Article
Stocker, S., J. Gasteiger, F. Becker, S. Günnemann and J. Margraf: How robust are modern graph neural network potentials in long and hot molecular dynamics simulations? Machine Learning: Science and Technology 3 (4), 045010 (2022).

Thesis - PhD (1)

2022
Thesis - PhD
Stocker, S.: Transferability in chemical machine learning. Technische Universität München
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