Publikationen von Luisa Peterson

Peterson, L.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Digital Twins in Process Engineering: An Overview on Computational and Numerical Methods. Computers and Chemical Engineering 193, 108917 (2025)

Peterson, L.; Bremer, J.; Sundmacher, K.: Challenges in data-based reactor modeling: A critical analysis of purely data-driven and hybrid models for a CSTR case study. Computers & Chemical Engineering 184, 108643 (2024)

Weinhold, H.; Peterson, L.; Müller, T. D.; Wekenborg, K.; Grünewald, M.; Rarey, J.: Improving the Accuracy of Activity Coefficient Estimation in Specialty Chemistry Using Local Estimators. Industrial & Engineering Chemistry Research 63, S. 7902 - 7914 (2024)

Gosea, I. V.; Peterson, L.; Goyal, P. K.; Bremer, J.; Sundmacher, K.; Benner, P.: Learning Reduced-Order Quadratic-Linear Models in Process Engineering using Operator Inference. In: ENUMATH 2023 Proceedings (angenommen)

Peterson, L.; Bremer, J.; Goyal, P. K.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Learning Reduced-Order Models for Dynamic CO₂ Methanation using Operator Inference. In: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, S. 3319 - 3324 (Hg. Manenti, F.; Reklaitis, G. V.). ESCAPE34 - PSE24, Florence, Italy, 02. Juni 2024 - 06. Juni 2024. Elsevier, Amsterdam/Netherlands (2024)

Peterson, L.; Bremer, J.; Sundmacher, K.: Hybrid modeling of the catalytic CO2 methanation using process data and process knowledge. In: 33rd European Symposium on Computer Aided Process Engineering, S. 1489 - 1494 (Hg. Kokossis, A.; Georgiadis, M. C.; Pistikopoulos, E.). 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, 18. Juni 2023 - 21. Juni 2023. Elsevier, Amsterdam/Netherlands (2023)

Peterson, L.; Bremer, J.; Goyal, P. K.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Learning reduced-order models for dynamic CO2 methanation using operator inference. ESCAPE-34, Florence, Italy (2024)

Peterson, L.; Goyal, P. K.; Pontes Duff, I.; Gosea, I. V.; Bremer, J.; Benner, P.; Sundmacher, K.: Stability-Guaranteed Inference of Reduced-Order Models with Control of Power-to-X Processes. 2024 AIChE Annual Meeting, San Diego, USA (eingereicht)

Zimmermann, R. T.; Geschke, A.; Peterson, L.; Bremer, J.; Sundmacher, K.: A Smart Catalytic Fixed-Bed Reactor for CO2 Methanation. Achema 2024 , Frankfurt, Germany (2024)

Peterson, L.; Bremer, J.; Goyal, P. K.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Learning reduced-order models for dynamic CO2 methanation using operator inference. ESCAPE34 - PSE24, Florence, Italy (angenommen)

Peterson, L.; Bremer, J.; Sundmacher, K.: Hybrid modeling of the catalytic CO2 methanation using process data and mechanistic knowledge. ReactEng23: Annual Meeting on Reaction Engineering 2023, Frankfurt am Main (2023)

Peterson, L.; Sanchez Medina, E. I.; Khalid, M. M.; Sundmacher, K.: Surrogate modeling of dynamical systems: deep learning or model-order reduction? ECML 2024 (ML4CCE workshop), Vilnius, Lithuania (2024)

Peterson, L.; Bremer, J.; Sundmacher, K.: Hybrid modeling of the catalytic CO2 methanation using process data and mechanistic knowledge. ESCAPE-33, Athens, Greece (2023)

Peterson, L.: Power-to-Methane: Derivation of a microkinetic model for the CO2 methanation reaction. Master, Magdeburg: Otto-von-Guericke-Universität (2020)

Peterson, L.: Einfluss der Bacteriorhodopsin Orientierung auf die lichtgetriebene ATP-Produktion in bR-EF0F1-Proteoliposomen. Bachelor, Otto-von-Guericke-Universität, Magdeburg (2018)

Peterson, L.; Forootani, A.; Sanchez Medina, E. I.; Gosea, I. V.; Sundmacher, K.; Benner, P.: Towards Digital Twins for Power-to-X: Comparing Surrogate Models for a Catalytic CO2 Methanation Reactor. TechRxiv (2024)