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Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning

Journal of Membrane Science, vol. 608, pp. 118208

Authors 5

  1. DWI – Leibniz Institute for Interactive Materials · RWTH Aachen University

    Affiliation as printed

    DWI - Leibniz Institute for Interactive Materials, Forckenbeckstrasse 50, 52074, Aachen, Germany

    RWTH Aachen University, AVT.CVT - Aachener Verfahrenstechnik, Chemical Process Engineering, Forckenbeckstrasse 51, 52074, Aachen, Germany

  2. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University, AVT.SVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstrasse 51, 52074, Aachen, Germany

  3. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University, AVT.CVT - Aachener Verfahrenstechnik, Chemical Process Engineering, Forckenbeckstrasse 51, 52074, Aachen, Germany

  4. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University, AVT.SVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstrasse 51, 52074, Aachen, Germany

  5. DWI – Leibniz Institute for Interactive Materials · RWTH Aachen University

    Affiliation as printed

    DWI - Leibniz Institute for Interactive Materials, Forckenbeckstrasse 50, 52074, Aachen, Germany

    RWTH Aachen University, AVT.CVT - Aachener Verfahrenstechnik, Chemical Process Engineering, Forckenbeckstrasse 51, 52074, Aachen, Germany

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References 90