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@ARTICLE{Zhai:1015005,
author = {Zhai, Song and Bartkowiak, Niklas and Sibirtsev, Stepan and
Jupke, Andreas},
title = {{E}xperimental determination and model-based prediction of
flooding points in a pilot-scale continuous liquid-liquid
gravity separator},
journal = {Separation and purification technology},
volume = {377},
number = {Part 1},
issn = {1873-3794},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {RWTH-2025-06194},
pages = {134177},
year = {2025},
cin = {416310},
ddc = {540},
cid = {$I:(DE-82)416310_20151215$},
pnm = {DFG project G:(GEPRIS)466656378 - Dateneffizientes und
physikinformiertes Verstärkungslernen zur Regelung von
flüssig-flüssig Trennprozessen (466656378) / DFG project
G:(GEPRIS)441958259 - SPP 2331: Maschinelles Lernen in der
Verfahrenstechnik. Wissen trifft auf Daten:
Interpretierbarkeit, Extrapolation, Verlässlichkeit,
Vertrauen (441958259) / OAPKF - Open-Access-Publikation mit
Unterstützung der RWTH Aachen University (021000-OAPKF)},
pid = {G:(GEPRIS)466656378 / G:(GEPRIS)441958259 /
G:(DE-82)021000-OAPKF},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001540252300001},
doi = {10.1016/j.seppur.2025.134177},
url = {https://publications.rwth-aachen.de/record/1015005},
}