Publications of Luisa Peterson

Peterson, L., Bremer, J., & Sundmacher, K. (2024)Challenges in data-based reactor modeling: A critical analysis of purely data-driven and hybrid models for a CSTR case studyComputers & Chemical Engineering, 184, 108643doi: 10.1016/j.compchemeng.2024.108643.

Peterson, L., Bremer, J., Goyal, P. K., Gosea, I. V., Benner, P., & Sundmacher, K. (2024)Learning Reduced-Order Models for Dynamic CO2 Methanation using Operator InferenceIn: Proceedings of the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24).

Peterson, L., Bremer, J., & Sundmacher, K. (2023)Hybrid modeling of the catalytic CO2 methanation using process data and process knowledgeIn: 33rd European Symposium on Computer Aided Process Engineering, 1489–1494doi: 10.1016/B978-0-443-15274-0.50237-7.

Peterson, L., Bremer, J., Goyal, P. K., Gosea, I. V., Benner, P., & Sundmacher, K.Learning reduced-order models for dynamic CO2 methanation using operator inferencePresented at: ESCAPE34 - PSE24Florence, Italy, June 2, 2024.

Peterson, L., Bremer, J., & Sundmacher, K.Hybrid modeling of the catalytic CO2 methanation using process data and mechanistic knowledgePresented at: ReactEng23: Annual Meeting on Reaction Engineering 2023Frankfurt am Main, May 15, 2023.

Peterson, L., Bremer, J., & Sundmacher, K.Hybrid modeling of the catalytic CO2 methanation using process data and mechanistic knowledgePresented at: ESCAPE-33Athens, Greece, June 18, 2023.

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

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

Gosea, I. V., Peterson, L., Goyal, P. K., Bremer, J., Sundmacher, K., & Benner, P. (in press)Learning Reduced-Order Quadratic-Linear Models in Process Engineering using Operator Inference.

Peterson, L., Gosea, I. V., Benner, P., & Sundmacher, K. (2024)Digital Twins in Process Engineering: An Overview on Computational and Numerical MethodsSSRNdoi: 10.2139/ssrn.4747265.