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Ion Victor Gosea

Max Planck Institute for Dynamics of complex technical systems

SCHOLARLY PAPERS

3

DOWNLOADS

594

TOTAL CITATIONS

2

Scholarly Papers (3)

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1.

Digital Twins in Process Engineering: An Overview on Computational and Numerical Methods

Number of pages: 44 Posted: 27 Mar 2024
Luisa Peterson, Ion Victor Gosea, Peter Benner and Kai Sundmacher
Max Planck Institute for Dynamics of complex technical systems, Max Planck Institute for Dynamics of complex technical systems, Max Planck Institute for Dynamics of complex technical systems and Max Planck Institute for Dynamics of complex technical systems
Downloads 445 (162,082)
Citation 2

Abstract:

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digital twin, process- and chemical engineering, first-principle models, data-driven modeling, scientific machine learning, reduced-order modeling

2.

Loewner Framework and Distribution of Relaxation Times of Electrochemical Systems: Solving Issues Through a Data-Driven Modeling Approach

Number of pages: 33 Posted: 13 Sep 2022
Antonio Sorrentino, Ion Victor Gosea, Bansidhar Patel, Athanasios C. Antoulas and Tanja Vidakovic-Koch
affiliation not provided to SSRN, Max Planck Institute for Dynamics of complex technical systems, affiliation not provided to SSRN, Rice University and Max Planck Institute for Dynamics of complex technical systems
Downloads 119 (600,462)

Abstract:

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EIS, PEMFC, data-driven approach, Loewner matrix, Gerischer element, inductive patterns

3.

Data-driven reduced-order model for optimal control of dynamically operated reactors in Power-to-X processes

Number of pages: 21 Posted: 28 Apr 2026
Luisa Peterson, Alexander Geschke, Pawan Goyal, Ion Victor Gosea, Jens Bremer, Ronny Tobias Zimmermann, Peter Benner and Kai Sundmacher
Max Planck Institute for Dynamics of complex technical systems, affiliation not provided to SSRN, affiliation not provided to SSRN, Max Planck Institute for Dynamics of complex technical systems, Clausthal University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN and Max Planck Institute for Dynamics of complex technical systems
Downloads 30 (1,318,317)

Abstract:

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Data-driven modeling, Optimal control, Power-to-X, Reduced-order models, Reactor dynamics