Jana M. Weber

According to our database, Jana M. Weber authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

All-atom protein sequence design using discrete diffusion models.

Amelia Villegas-Morcillo, Gijs J. Admiraal, Marcel J. T. Reinders, Jana M. Weber

J. Cheminformatics, December, 2026

CompleteRXN: Toward Completing Open Chemical Reaction Databases.

Gabriel Vogel, Minouk Noordsij, Evgeny Pidko, Jana M. Weber

CoRR, May, 2026

Grounding Large Language Models in Reaction Knowledge Graphs for Synthesis Retrieval.

Olga Bunkova, Lorenzo Di Fruscia, Sophia Rupprecht, Artur M. Schweidtmann, Marcel J. T. Reinders, Jana M. Weber

CoRR, January, 2026

Environmental impacts prediction using graph neural networks on molecular graphs.

Qinghe Gao, Lukas Schulze Balhorn, Alessandro Laera, Raoul Meys, Jonas Goßen, Jana M. Weber, Gregor Wernet, Artur M. Schweidtmann

Comput. Chem. Eng., 2026

2025

Joint Embedding Predictive Architecture for self-supervised pretraining on polymer molecular graphs.

Francesco Piccoli, Gabriel Vogel, Jana M. Weber

CoRR, June, 2025

Leveraging Large Language Models for enzymatic reaction prediction and characterization.

Lorenzo Di Fruscia, Jana Marie Weber

CoRR, May, 2025

2024

Inverse Design of Copolymers Including Stoichiometry and Chain Architecture.

Gabriel Vogel, Jana M. Weber

CoRR, 2024

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

Dataset, September, 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., April, 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

Dataset, January, 2023

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

2022

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