Person

Jan Gerald Rittig

M. Sc.

Wissenschaftliches Personal

Nicht verfügbar
Systemverfahrenstechnik

Adresse

Gebäude: 5001

Raum: B-225

Forckenbeckstraße 51

52074 Aachen

Kontakt

WorkPhone
Telefon: +49 241 80 97009
 

Publikationen

Titel Autor(en)
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
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)