Publikationen von Edgar Ivan Sanchez Medina

Sanchez Medina, E. I.; Linke, S.; Stoll, M.; Sundmacher, K.: Gibbs–Helmholtz graph neural network: capturing the temperature dependency of activity coefficients at infinite dilution. Digital Discovery 2 (3), S. 781 - 798 (2023)

Sanchez Medina, E. I.; Linke, S.; Stoll, M.; Sundmacher, K.: Graph neural networks for the prediction of infinite dilution activity coefficients. Digital Discovery 1 (3), S. 216 - 225 (2022)

McBride, K.; Sanchez Medina, E. I.; Sundmacher, K.: Hybrid Semi‐parametric Modeling in Separation Processes: A Review. Chemie Ingenieur Technik 92 (7), S. 842-855 - 855 (2020)

Sanchez Medina, E. I.; Sundmacher, K.: Solvent pre-selection for extractive distillation using Gibbs-Helmholtz Graph Neural Networks. In: 33rd European Symposium on Computer Aided Process Engineering, Bd. 52, S. 2037 - 2042. 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, 18. Juni 2023 - 21. Juni 2023. Elsevier, Amsterdam/Netherlands (2023)

Sanchez Medina, E. I.; Linke, S.; Sundmacher, K.: Prediction of Bioconcentration Factors (BCF) using Graph Neural Networks. In: 31st European Symposium on Computer Aided Process Engineering, S. 991 - 997 (Hg. Türkay, M.; Gani, R.). 31st European Symposium on Computer Aided Process Engineering, Istanbul, Turkey/virtual, 06. Juni 2021 - 09. Juni 2021. Elsevier, Amsterdam, Netherlands (2021)

Sanchez Medina, E. I.; Vallejo, D. R.; Chachuat, B.; Sundmacher, K.; Petsagkourakis, P.; del Rio-Chanona, E.A.: Acyclic modular flowsheet optimization using multiple trust regions and Gaussian process regression. In: 31st European Symposium on Computer Aided Process Engineering, S. 1117 - 1123 (Hg. Türkay, M.; Gani, R.). 31st European Symposium on Computer Aided Process Engineering, Istanbul, Turkey/virtual, 06. Juni 2021 - 09. Juni 2021. Elsevier, Amsterdam, Netherlands (2021)

König-Mattern, L.; Sanchez Medina, E. I.; Komarova, A. O.; Linke, S.; Rihko-Struckmann, L.; Luterbacher, J.; Sundmacher, K.: Tailored solvent design for lignin dissolution using graph neural networks. ECCE 14 & ECAB 7: 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany (2023)

Sanchez Medina, E. I.; Ganzer, C.; Antonio , d. R. C.; Matar, O.; Sundmacher, K.: An introductory course of machine learning for chemical engineering students: a prototype. WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERING, Buenos Aires, Argentina (2023)

Sanchez Medina, E. I.; Kunchapu, S.; Sundmacher, K.: Predicting activity coefficients at infinite dilution of polymer solutions using Graph Neural Networks. WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERING, Buenos Aires, Argentina (2023)

Sanchez Medina, E. I.; Sundmacher, K.: Solvent pre-selection for extractive distillation using Gibbs-Helmholtz Graph Neural Networks. ESCAPE-33, Athens, Greece (2023)

Sanchez Medina, E. I.; Rodriguez-Vallejo, D. F.; del Rio-Chanona, E. A.; Sundmacher, K.; Petsagkourakis, P.: Multi-Objective Bayesian optimization of process flowsheets using trust regions and quality set metrics. 2021 AIChE Annual Meeting, Virtual (2021)

Sanchez Medina, E. I.; Linke, S.; Stoll, M.; Sundmacher, K.: Predicting Activity Coefficients at Infinite Dilution Using Hybrid Residual Graph Neural Networks. 2022 AIChE Annual Meeting, Phoenix, USA (2022)

Sanchez Medina, E. I.; Linke, S.; Sundmacher, K.: Prediction of Bioconcentration factors (BCF) using Graph Neural Networks. 31st European Symposium on Computer-Aided Process Engineering (ESCAPE-31), Istanbul, Turkey (2021)

Sanchez Medina, E. I.; Rodriguez Vallejo, D.; Chachuat, B.; Sundmacher, K.; Petsagkourakis, P.; del Rio Chanona, E. A.: Acyclic modular flowsheet optimization using multiple trust regions and Gaussian process regression. 31st European Symposium on Computer-Aided Process Engineering (ESCAPE-31), Istanbul, Turkey (2021)