Publikationen von Luisa Peterson

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)

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: Proceedings of the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24). ESCAPE34/PSE24, Florence, Italy, 02. Juni 2024 - 06. Juni 2024. (angenommen)

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. 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.; 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)

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. (2024)

Peterson, L.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Digital Twins in Process Engineering: An Overview on Computational and Numerical Methods. (2024)