activity
20172024
most citedData-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study

17 citations · 21 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CE2023

Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis

Luise F. Kaven, Artur M. Schweidtmann, Jan Keil +3

Microgels are cross-linked, colloidal polymer networks with great potential for stimuli-response release in drug-delivery applications, as their size in the nanometer range allows…

math.OC2023

Optimal Design and Flexible Operation of a Fully Electrified Biodiesel Production Process

Mohammad El Wajeh, Adel Mhamdi, Alexander Mitsos

The flexible operation of electrified chemical processes, powered by renewable electricity, offers economic and ecological incentives, paving the way for a more sustainable chemica…

cs.LG2023

End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control

Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen

(Economic) nonlinear model predictive control ((e)NMPC) requires dynamic models that are sufficiently accurate and computationally tractable. Data-driven surrogate models for mecha…

physics.chem-ph2023

Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction

Jan G. Rittig, Kobi C. Felton, Alexei A. Lapkin +1

We propose Gibbs-Duhem-informed neural networks for the prediction of binary activity coefficients at varying compositions. That is, we include the Gibbs-Duhem equation explicitly…

math.OC20234 cited

Cost-Optimal Power-to-Methanol: Flexible Operation or Intermediate Storage?

Simone Mucci, Alexander Mitsos, Dominik Bongartz

The synthesis of methanol from captured carbon dioxide and green hydrogen could be a promising replacement for the current fossil-based production. The major energy input and cost…