‪Maximilian F. Theisen‬ - ‪Google Scholar‬

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Citations	17	17
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2022202320242 9 6

Co-authors

Artur M. SchweidtmannDelft University of Technology, Department of Chemical EngineeringVerified email at tudelft.nl
Lukas Schulze BalhornDelft University of Technology, Department of Chemical EngineeringVerified email at tudelft.nl
Qinghe GaoDelft university of technologyVerified email at tudelft.nl

Maximilian F. Theisen

Maximilian F. Theisen

Delft University of Technology, Department of Chemical Engineering

Verified email at tudelft.nl

Chemical engineering digitial twins deep learning


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Digitization of chemical process flow diagrams using deep convolutional neural networks MF Theisen, KN Flores, LS Balhorn, AM Schweidtmann Digital Chemical Engineering 6, 100072, 2023	10	2023
Sparse PCA support exploration of process structures for decentralized fault detection M Theisen, G Dörgő, J Abonyi, A Palazoglu Industrial & Engineering Chemistry Research 60 (22), 8183-8195, 2021	7	2021
MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept M Tkáč, J Sieber, L Kuhlmann, M Brueggenolte, A Rinciog, M Henke, ... arXiv preprint arXiv:2401.16291, 2024		2024

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