Graph Machine Learning for Design of High-Octane Fuels. - Jan G. Rittig; Martin Ritzert; Artur M. Schweidtmann; Stefanie Winkler; Jana M. Weber; Philipp Morsch; K. Alexander Heufer; Martin Grohe; Alexander Mitsos; Manuel Dahmen (CoRR, 2022)

What does ChatGPT know about natural science and engineering? - Lukas Schulze Balhorn; Jana M. Weber; Stefan Buijsman; Julian Romeo Hildebrandt; Martina Ziefle; Artur M. Schweidtmann (CoRR, 2023)

Software for "Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction". - Artur M. Schweidtmann; Jan G. Rittig; Jana M. Weber; Martin Grohe; Manuel Dahmen; Kai Leonhard; Alexander Mitsos (Zenodo, 2023)

Physical pooling functions in graph neural networks for molecular property prediction. - Artur M. Schweidtmann; Jan G. Rittig; Jana M. Weber; Martin Grohe; Manuel Dahmen; Kai Leonhard; Alexander Mitsos (Comput. Chem. Eng., 2023)

Supplementary information to "What does ChatGPT know about natural science and engineering?". - Lukas Schulze Balhorn; Jana M. Weber; Stefan Buijsman; Julian Romeo Hildebrandt; Martina Ziefle; Artur M. Schweidtmann (Zenodo, 2023)

Inverse Design of Copolymers Including Stoichiometry and Chain Architecture. - Gabriel Vogel; Jana M. Weber (CoRR, 2024)

Joint Embedding Predictive Architecture for self-supervised pretraining on polymer molecular graphs. - Francesco Piccoli; Gabriel Vogel; Jana M. Weber (CoRR, 2025)