Henrik Schopmans

According to our database, Henrik Schopmans authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Symmetry-Aware Bayesian Flow Networks for Crystal Generation.

Laura Ruple, Luca Torresi, Henrik Schopmans, Pascal Friederich

CoRR, February, 2025

Temperature-Annealed Boltzmann Generators.

Henrik Schopmans, Pascal Friederich

CoRR, January, 2025

2024

Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations.

Henrik Schopmans, Pascal Friederich

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms.

Henrik Schopmans, Patrick Reiser, Pascal Friederich

CoRR, 2023

2022

Graph neural networks for materials science and chemistry.

Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi, Chen Zhou, Chen Shao, Houssam Metni, Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich

CoRR, 2022