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J
Jan G. Rittig
RWTH Aachen University
14
H-index
44
Paper Count
641
Citation Count
0
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Published Papers
13
Publication Date
Publication Date
Impact Factor
Citations
Federated learning from molecules to processes: A perspective
CHEMICAL ENGINEERING RESEARCH & DESIGN
IF
3.9
2026-07-10
0
OA
AI
Jan G. Rittig; Clemens Kortmann
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Predicting the equivalent alkane carbon number of oils using graph neural networks and quantum mechanical descriptors
Computers & Chemical Engineering
IF
3.9
2025-09-30
0
OA
AI
Christoforos Brozos; Sandip Bhattacharya; Jan G. Rittig; Elie Akanny; Philipp Eiden; Alexander Mitsos
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Exploring data augmentation: Multi-task methods for molecular property prediction
Computers & Chemical Engineering
IF
3.9
2025-07-02
0
OA
AI
Muhammad bin Javaid; Timo Gervens; Alexander Mitsos; Martin Grohe; Jan G. Rittig
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Predicting the temperature-dependent CMC of surfactant mixtures with graph neural networks
COMPUTERS & CHEMICAL ENGINEERING
IF
3.9
2025-03-01
0
OA
AI
Brozos, Christoforos; Rittig, Jan G.; Akanny, Elie; Bhattacharya, Sandip; Kohlmann, Christina; Mitsos, Alexander
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GraphXForm: graph transformer for computer-aided molecular design
DIGITAL DISCOVERY
IF
5.6
2025-01-01
0
OA
AI
Pirnay, Jonathan; Rittig, Jan G.; Wolf, Alexander B.; Grohe, Martin; Burger, Jakob; Mitsos, Alexander; Grimm, Dominik G.
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ML-SAFT: A machine learning framework for PCP-SAFT parameter prediction
CHEMICAL ENGINEERING JOURNAL
IF
13.2
2024-07-01
2
OA
AI
Felton, Kobi C.; Rasspe-Lange, Lukas; Rittig, Jan G.; Leonhard, Kai; Mitsos, Alexander; Meyer-Kirschner, Julian; Knoesche, Carsten; Lapkin, Alexei A.
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Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF
5.5
2024-06-26
2
OA
AI
Brozos, Christoforos; Rittig, Jan G.; Bhattacharya, Sandip; Akanny, Elie; Kohlmann, Christina; Mitsos, Alexander
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Thermodynamics-consistent graph neural networks
CHEMICAL SCIENCE
IF
7.4
2024-01-01
0
OA
AI
Rittig, Jan G.; Mitsos, Alexander
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Physical pooling functions in graph neural networks for molecular property prediction
COMPUTERS & CHEMICAL ENGINEERING
IF
3.9
2023-04-01
19
OA
AI
Schweidtmann, Artur M.; Rittig, Jan G.; Weber, Jana M.; Grohe, Martin; Dahmen, Manuel; Leonhard, Kai; Mitsos, Alexander
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Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids
COMPUTERS & CHEMICAL ENGINEERING
IF
3.9
2023-03-01
30
OA
AI
Rittig, Jan G.; Hicham, Karim Ben; Schweidtmann, Artur M.; Dahmen, Manuel; Mitsos, Alexander
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Gibbs-Duhem-informed neural networks for binary activity coefficient prediction
DIGITAL DISCOVERY
IF
5.6
2023-01-01
9
OA
AI
Rittig, Jan G.; Felton, Kobi C.; Lapkin, Alexei A.; Mitsos, Alexander
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Graph machine learning for design of high-octane fuels
AICHE JOURNAL
IF
4
2022-12-22
18
OA
AI
Rittig, Jan G. G.; Ritzert, Martin; Schweidtmann, Artur M. M.; Winkler, Stefanie; Weber, Jana M. M.; Morsch, Philipp; Heufer, Karl Alexander; Grohe, Martin; Mitsos, Alexander; Dahmen, Manuel
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Designing production-optimal alternative fuels for conventional, flexible-fuel, and ultra-high efficiency engines
CHEMICAL ENGINEERING SCIENCE
IF
4.3
2021-06-01
16
PRE
AI
Koenig, Andrea; Siska, Maximilian; Schweidtmann, Artur M.; Rittig, Jan G.; Viell, Jorn; Mitsos, Alexander; Dahmen, Manuel
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Research Directions
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Co-authors
Cooperation Journals
A
Alexei A. Lapkin
H-index: 56 · Papers: 356
A
Alexander Mitsos
H-index: 53 · Papers: 586
M
Martin Grohe
H-index: 48 · Papers: 372
K
Kai Leonhard
H-index: 34 · Papers: 267
A
Andrea König
H-index: 33 · Papers: 157
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