Computer-aided polymer design using group contribution plus property models. - Kavitha C. Satyanarayana; Jens Abildskov; Rafiqul Gani (Comput. Chem. Eng., 2009)

A general model for membrane-based separation processes. - V. Soni; Jens Abildskov; Gunnar Jonsson; Rafiqul Gani (Comput. Chem. Eng., 2009)

Optimal operation and stabilising control of the concentric heat-integrated distillation column (HIDiC). - Thomas Bisgaard; Sigurd Skogestad; Jens Abildskov; Jakob Kjøbsted Huusom (Comput. Chem. Eng., 2017)

High-order approximation of chromatographic models using a nodal discontinuous Galerkin approach. - Kristian Meyer; Jakob Kjøbsted Huusom; Jens Abildskov (Comput. Chem. Eng., 2018)

Computer-aided molecular product-process design under property uncertainties - A Monte Carlo based optimization strategy. - Jérôme Frutiger; Stefano Cignitti; Jens Abildskov; John M. Woodley; Gürkan Sin (Comput. Chem. Eng., 2019)

A stabilized nodal spectral solver for liquid chromatography models. - Kristian Meyer; Jakob Kjøbsted Huusom; Jens Abildskov (Comput. Chem. Eng., 2019)

Comprehensive development, uncertainty and sensitivity analysis of a model for the hydrolysis of rapeseed oil. - Hector Forero-Hernandez; Mark Nicholas Jones; Bent Sarup; Anker Degn Jensen; Jens Abildskov; Gürkan Sin (Comput. Chem. Eng., 2020)

ChromaTech: A discontinuous Galerkin spectral element simulator for preparative liquid chromatography. - Kristian Meyer; Samuel Leweke; Eric von Lieres; Jakob Kjøbsted Huusom; Jens Abildskov (Comput. Chem. Eng., 2020)

Combining Group-Contribution Concept and Graph Neural Networks Toward Interpretable Molecular Property Models. - Adem R. N. Aouichaoui; Fan Fan; Seyed Soheil Mansouri; Jens Abildskov; Gürkan Sin (J. Chem. Inf. Model., 2023)

Application of interpretable group-embedded graph neural networks for pure compound properties. - Adem R. N. Aouichaoui; Fan Fan; Jens Abildskov; Gürkan Sin (Comput. Chem. Eng., 2023)

Fairer benchmark of group contribution and machine learning models for property prediction: A new data splitting strategy. - Adem R. N. Aouichaoui; Jingkang Liang; Jens Abildskov; Gürkan Sin (Comput. Chem. Eng., 2025)

High-Performance C++ and Julia solvers in CADET for weakly and strongly coupled continuous chromatography problems. - Jesper Frandsen; Jan Michael Breuer; Johannes Schmölder; Jens Abildskov; Jakob Kjøbsted Huusom; Krist V. Gernaey; Eric von Lieres (Comput. Chem. Eng., 2025)

CADET-Julia: Efficient and versatile, open-source simulator for batch chromatography in Julia. - Jesper Frandsen; Jan Michael Breuer; Johannes Schmölder; Jakob Kjøbsted Huusom; Krist V. Gernaey; Jens Abildskov; Eric von Lieres (Comput. Chem. Eng., 2025)