Publications of Edgar Ivan Sanchez Medina

Journal Article (4)

1.
Journal Article
Sanchez Medina, E. I.; Kunchapu, S.; Sundmacher, K.: Gibbs–Helmholtz Graph Neural Network for the Prediction of Activity Coefficients of Polymer Solutions at Infinite Dilution. The Journal of Physical Chemistry A 127, pp. 9863 - 9873 (2023)
2.
Journal Article
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), pp. 781 - 798 (2023)
3.
Journal Article
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), pp. 216 - 225 (2022)
4.
Journal Article
McBride, K.; Sanchez Medina, E. I.; Sundmacher, K.: Hybrid Semi‐parametric Modeling in Separation Processes: A Review. Chemie Ingenieur Technik 92 (7), pp. 842-855 - 855 (2020)

Conference Paper (3)

5.
Conference Paper
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, Vol. 52, pp. 2037 - 2042. 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, June 18, 2023 - June 21, 2023. Elsevier, Amsterdam/Netherlands (2023)
6.
Conference Paper
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, pp. 991 - 997 (Eds. Türkay, M.; Gani, R.). 31st European Symposium on Computer Aided Process Engineering, Istanbul, Turkey/virtual, June 06, 2021 - June 09, 2021. Elsevier, Amsterdam, Netherlands (2021)
7.
Conference Paper
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, pp. 1117 - 1123 (Eds. Türkay, M.; Gani, R.). 31st European Symposium on Computer Aided Process Engineering, Istanbul, Turkey/virtual, June 06, 2021 - June 09, 2021. Elsevier, Amsterdam, Netherlands (2021)

Talk (5)

8.
Talk
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)
9.
Talk
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)
10.
Talk
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)
11.
Talk
Sanchez Medina, E. I.; Sundmacher, K.: Solvent pre-selection for extractive distillation using Gibbs-Helmholtz Graph Neural Networks. ESCAPE-33, Athens, Greece (2023)
12.
Talk
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)

Poster (3)

13.
Poster
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)
14.
Poster
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)
15.
Poster
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)
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