Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning
Journal of Membrane Science, vol. 608, pp. 118208
Authors 5
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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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Artur M. Schweidtmann Aachen
Affiliation as printed
RWTH Aachen University, AVT.SVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstrasse 51, 52074, Aachen, Germany
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Elizaveta Evdochenko Aachen
Affiliation as printed
RWTH Aachen University, AVT.CVT - Aachener Verfahrenstechnik, Chemical Process Engineering, Forckenbeckstrasse 51, 52074, Aachen, Germany
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Alexander Mitsos Aachen
Affiliation as printed
RWTH Aachen University, AVT.SVT - Aachener Verfahrenstechnik, Process Systems Engineering, Forckenbeckstrasse 51, 52074, Aachen, Germany
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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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