Person
Jan Gerald Rittig
M. Sc.Scientific Staff
Process Systems Engineering
Address
Building: 5001
Room: B-225
Forckenbeckstraße 51
52074 Aachen
Publications
| Titel | Author(s) |
|---|---|
| Graph machine learning for design of high-octane fuels Erschienen in: AIChE journal (2023) | Rittig, Jan Gerald Ritzert, Martin Schweidtmann, Artur M. Winkler, Stefanie Weber, Jana M. Morsch, Philipp Heufer, Karl Alexander Grohe, Martin Mitsos, Alexander Dahmen, Manuel (Corresponding author) |
| Molecular design of spark-ignition fuels by combining predictive thermodynamics and machine learning (2022) | Ackermann, Philipp Fleitmann, Lorenz Heinrich Johannes Schilling, Johannes Kleinekorte, Johanna Rittig, Jan Gerald vom Lehm, Florian Schweidtmann, Artur M. Pitsch, Heinz Leonard, Kai Mitsos, Alexander Bardow, André Dahmen, Manuel |
| Molecular Design of Spark-Ignition Engine Fuels for Maximal Engine Efficiency (2022) | Ackermann, Philipp Fleitmann, Lorenz Heinrich Johannes Schilling, Johannes Kleinekorte, Johanna Rittig, Jan Gerald vom Lehm, Florian Schweidtmann, Artur Pitsch, Heinz Leonard, Kai Mitsos, Alexander Bardow, André Dahmen, Manuel |
| Towards Characteristic Fuel Numbers for Molecularly-Controlled Combustion Systems Erschienen in: 10th International Conference Fuel Science - From Production to Propulsion May 10 to 12, 2022: Conference Report Book of Abstracts (2022) | Neumann, Marcel (Corresponding author) Ackermann, Philipp Rittig, Jan Gerald Honecker, Christian Mitsos, Alexander Dahmen, Manuel Pischinger, Stefan |
| Towards Characteristic Fuel Numbers for Molecularly-Controlled Combustion Systems (2022) | Neumann, Marcel Ackermann, Philipp Rittig, Jan Gerald Honecker, Christian Mitsos, Alexander Dahmen, Manuel Pischinger, Stefan |
| Comparing Cetane Ratings from IQT and AFIDA: Fundamentals, Experimental Screening, and Graph NeuralNetwork Modeling (2021) | Ackermann, Philipp Neumann, Marcel Rittig, Jan Gerald Pischinger, Stefan Mitsos, Alexander Dahmen, Manuel |
| Fuel design by combined machine learning and predictive thermodynamics (2021) | Fleitmann, Lorenz Heinrich Johannes Ackermann, Philipp Rittig, Jan Gerald Schweidtmann, Artur M. König, Andrea Dahmen, Manuel Mitsos, Alexander Bardow, André Leonhard, Kai |
| Fuel design by combined machine learning and predictive thermodynamics (2021) | Fleitmann, Lorenz Heinrich Johannes Ackermann, Philipp Rittig, Jan Gerald Schweidtmann, Artur M. König, Andrea Dahmen, Manuel Mitsos, Alexander Bardow, André Leonhard, Kai |
| Computer-Aided Design of Molecules with High Octane Rating and Octane Sensitivity through Graph-Based Machine Learning (2021) | Rittig, Jan Gerald Ritzert, Martin Schweidtmann, Artur M. Winkler, Stefanie Grohe, Martin Mitsos, Alexander Dahmen, Manuel |
| Designing production-optimal alternative fuels for conventional, flexible-fuel, and ultra-high efficiency engines Erschienen in: Chemical engineering science = Génie chimique (2021) | König, Andrea Siska, Maximilian Schweidtmann, Artur M. Rittig, Jan Gerald Viell, Jörn Mitsos, Alexander Dahmen, Manuel (Corresponding author) |
| Summit: Benchmarking Machine Learning Methods for Reaction Optimisation Erschienen in: Chemistry methods (2021) | Felton, Kobi C. Rittig, Jan Gerald Lapkin, Alexei A. (Corresponding author) |
| Video Tutorial: Graph Neural Network Tool for Predicting Physico-Chemical Properties of Molecules (2020) | Rittig, Jan Gerald Grohe, Martin Dahmen, Manuel Mitsos, Alexander Schweidtmann, Artur M. (Corresponding author) |
| Graph neural networks for prediction of fuel ignition quality (2020) | Schweidtmann, Artur M. Rittig, Jan Gerald König, Andrea Grohe, Martin Mitsos, Alexander (Corresponding author) Dahmen, Manuel |
| Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks : 8th - 9th July 2020 ; 3rd International Conference on Machine Learning an AI in (bio)Chemical Engineering (2020) | Rittig, Jan Gerald Schweidtmann, Artur M. König, Andrea Dahmen, Manuel Grohe, Martin Mitsos, Alexander |
| Graph Neural Networks for Prediction of Fuel Ignition Quality Erschienen in: Energy & fuels (2020) | Schweidtmann, Artur M. Rittig, Jan Gerald König, Andrea Grohe, Martin Mitsos, Alexander Dahmen, Manuel (Corresponding author) |
| Graph Neural Networks for Prediction of Fuel Ignition Quality (2020) | Rittig, Jan Gerald Schweidtmann, Artur M. König, Andrea Ackermann, Philipp Dahmen, Manuel Grohe, Martin Mitsos, Alexander |
| Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks (2020) | Rittig, Jan Gerald Schweidtmann, Artur M. König, Andrea Dahmen, Manuel Grohe, Martin Mitsos, Alexander (Corresponding author) |