Patrick Ludl

  1. L. Trescher, D. Mogalle, P. O. Ludl, T. Seidel, M. Bortz and T. Grützner

    Influences of uncertainties in thermodynamic models on Pareto-optimized dividing wall columns for ideal mixtures

    Chemical Engineering Science 318, 122206 (2025), doi:10.1016/j.ces.2025.122206

    arXiv:2505.15193 [physics.chem-ph].

  2. D. Mogalle, P. O. Ludl, T. Seidel, L. Trescher, T. Grützner and M. Bortz

    Multi-criteria decision support for flexible dividing wall distillation columns

    Digital Chemical Engineering 16, 100258 (2025), doi:10.1016/j.dche.2025.100258.

  3. J. Höller, M. Bubel, R. Heese, P. O. Ludl, P. Schwartz, J. Schwientek, N. Asprion, M. Wlotzka and M. Bortz

    Adaptively exploring the feature space of flowsheets

    AIChE Journal (2024) e18404, doi:10.1002/aic.18404.

  4. M. Baldan, P. O. Ludl, P. Süss, D. Schack, R. Schmidt and M. Bortz

    Real-Time Interactive Navigation on Input-Output Data Sets in Chemical Processes

    Chemie Ingenieur Technik 95, 1028 (2023), doi:10.1002/cite.202200240.

  5. P. O. Ludl, R. Heese, J. Höller, N. Asprion and M. Bortz

    Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet simulations with constraints

    Front. Chem. Sci. Eng. 16, 183 (2022), doi:10.1007/s11705-021-2073-7.

  6. M. Bubel, P. O. Ludl, T. Seidel, N. Asprion and M. Bortz

    A Modular Approach for Surrogate Modeling of Flowsheets

    Chemie Ingenieur Technik 93, 1987 (2021), doi:10.1002/cite.202100077.

  7. D. Schack, L. Lueg, R. Schmidt, M. von Kurnatowski, P. O. Ludl and M. Bortz

    Data-Driven Process Simulation Using Connected Surrogate Unit Models Exemplified on a Steam Methane Reforming Process

    Chemie Ingenieur Technik 93, 2052 (2021), doi:10.1002/cite.202100087.