Publikationen von Edgar Ivan Sanchez Medina
Alle Typen
Zeitschriftenartikel (3)
1.
Zeitschriftenartikel
2 (3), S. 781 - 798 (2023)
Gibbs–Helmholtz graph neural network: capturing the temperature dependency of activity coefficients at infinite dilution. Digital Discovery 2.
Zeitschriftenartikel
1 (3), S. 216 - 225 (2022)
Graph neural networks for the prediction of infinite dilution activity coefficients. Digital Discovery 3.
Zeitschriftenartikel
92 (7), S. 842-855 - 855 (2020)
Hybrid Semi‐parametric Modeling in Separation Processes: A Review. Chemie Ingenieur Technik Konferenzbeitrag (3)
4.
Konferenzbeitrag
52, S. 2037 - 2042. 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, 18. Juni 2023 - 21. Juni 2023. Elsevier, Amsterdam/Netherlands (2023)
Solvent pre-selection for extractive distillation using Gibbs-Helmholtz Graph Neural Networks. In: 33rd European Symposium on Computer Aided Process Engineering, Bd. 5.
Konferenzbeitrag
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)
6.
Konferenzbeitrag
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)
Vortrag (5)
7.
Vortrag
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)
8.
Vortrag
An introductory course of machine learning for chemical engineering students: a prototype. WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERING, Buenos Aires, Argentina (2023)
9.
Vortrag
Predicting activity coefficients at infinite dilution of polymer solutions using Graph Neural Networks. WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERING, Buenos Aires, Argentina (2023)
10.
Vortrag
Solvent pre-selection for extractive distillation using Gibbs-Helmholtz Graph Neural Networks. ESCAPE-33, Athens, Greece (2023)
11.
Vortrag
Multi-Objective Bayesian optimization of process flowsheets using trust regions and quality set metrics. 2021 AIChE Annual Meeting, Virtual (2021)
Poster (3)
12.
Poster
Predicting Activity Coefficients at Infinite Dilution Using Hybrid Residual Graph Neural Networks. 2022 AIChE Annual Meeting, Phoenix, USA (2022)
13.
Poster
Prediction of Bioconcentration factors (BCF) using Graph Neural Networks. 31st European Symposium on Computer-Aided Process Engineering (ESCAPE-31), Istanbul, Turkey (2021)
14.
Poster
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)