MeLOn
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Uses of MAiNGO

Examples of applications of earlier versions of MeLOn can be found in:

  • W.R. Huster, A.M. Schweidtmann and A. Mitsos, Impact of accurate working fluid properties on the globally optimal design of an organic Rankine cycle, Computer Aided Chemical Engineering 47 (2019) 427-432.
  • W.R. Huster, A.M. Schweidtmann and A. Mitsos, Working fluid selection for organic rankine cycles via deterministic global optimization of design and operation, Optimization and Engineering (2019) in press.
  • D. Rall, D. Menne, A.M. Schweidtmann, J. Kamp, L. von Kolzenberg, A. Mitsos and Matthias Wessling, Rational design of ion separation membranes, Journal of Membrane Science 569 (2019) 209-219.
  • D. Rall, A.M. Schweidtmann, B., Aumeier, J. Kamp, J. Karwe, K., Ostendorf, K., A. Mitsos & Wessling, M. (2020). Simultaneous rational design of ion separation membranes and processes. Journal of Membrane Science, 600, 117860.
  • D. Rall, A.M. Schweidtmann, M. Kruse, E., Evdochenko, A., Mitsos, A., & Wessling, M. (2020). Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning. Journal of Membrane Science, 118208.
  • P. Schäfer, A.M. Schweidtmann, P.H.A. Lenz, H.M.C. Markgraf, A. Mitsos, Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices, Computers and Chemical Engineering (2019) in press.
  • A.M. Schweidtmann, D. Bongartz, W.R. Huster, A. Mitsos, Deterministic Global Process Optimization: Flash Calculations via Artificial Neural Networks, Computer Aided Chemical Engineering 46 (2019) 937-942.
  • A.M. Schweidtmann and A. Mitsos, Deterministic Global Optimization with Artificial Neural Networks Embedded, Journal of Optimization Theory and Applications 180 (2019) 925-948.
  • A.M. Schweidtmann, W.R. Huster, J.T. Lüthje and A. Mitsos, Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks, Computers & Chemical Engineering 121 (2019) 67-74.