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