Journal Article

FZJ-2025-00268

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Physics-informed neural networks for dynamic process operations with limited physical knowledge and data

Velioglu, M.FZJ* ; Zhai, S.RWTH* ; Rupprecht, S.FZJ* ; Mitsos, A.FZJ*RWTH* ; Jupke, A.FZJ*RWTH* ; Dahmen, M. (Corresponding author)FZJ*

2025
Elsevier Science Amsterdam [u.a.]

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Please use a persistent id in citations: doi:10.1016/j.compchemeng.2024.108899  doi:10.34734/FZJ-2025-00268

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Contributing Institute(s):

1. Modellierung von Energiesystemen (ICE-1)

Research Program(s):

1. 1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112) (POF4-112)
2. DFG project G:(GEPRIS)466656378 - Dateneffizientes und physikinformiertes Verstärkungslernen zur Regelung von flüssig-flüssig Trennprozessen (466656378) (466656378)

Appears in the scientific report 2025

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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