J. Abildskov

发表

Modelling and Operation of Diesel Engine Exhaust Gas Cleaning Systems

Andreas Åberg, J. Abildskov, J. Huusom, 2017 .

Responses of azeotropes and relative volatilities to pressure variations

J. Abildskov, J. O’Connell, 2015 .

Analysis and model-based optimization of a pectin extraction process

P. A. Santacoloma, Jay H. Lee, Ricardo F Caroço, 2019 .

Group-contribution based property estimation and uncertainty analysis for flammability-related properties.

G. Sin, J. Abildskov, Jérôme Frutiger, 2016, Journal of hazardous materials.

A Comprehensive Methodology for Development, Parameter Estimation, and Uncertainty Analysis of Group Contribution Based Property Models—An Application to the Heat of Combustion

G. Sin, J. Abildskov, Jérôme Frutiger, 2016 .

Property Uncertainty Analysis and Methods for Optimal Working Fluids of Thermodynamic Cycles

G. Sin, J. Abildskov, Jérôme Frutiger, 2017 .

Uncertainty assessment of equations of state with application to an organic Rankine cycle†

Gürkan Sin, Jens Abildskov, Kenneth Kroenlein, 2017 .

9. Molecular Thermodynamic Modeling of Fluctuation Solution Theory Properties

J. Abildskov, J. O’Connell, 2016 .

Accurate Kirkwood–Buff integrals from molecular simulations

Jens Abildskov, John P. O'Connell, G. Peters, 2010 .

Prediction of properties of new halogenated olefins using two group contribution approaches

Fredrik Haglind, John M. Woodley, Stefano Cignitti, 2017 .

Molecular Modeling of Enzyme Dynamics Towards Understanding Solvent Effects

G. Peters, J. Abildskov, Nils Hejle Rasmus Ingemar Wedberg, 2011 .

Prediction of Solubilities of Complex Medium-sized Chemicals. II. Solutes in Mixed Solvents

J. Abildskov, J. O’Connell, J. P. O'connell, 2004 .

Uncertainty in the prediction of the thermophysical behavior of new halogenated working fluids

G. Sin, M. Mondejar, F. Haglind, 2019, Fluid Phase Equilibria.

Group-contribution+ (GC+) based estimation of properties of pure components: Improved property estimation and uncertainty analysis

Gürkan Sin, Rafiqul Gani, Bent Sarup, 2012 .

Computer-aided framework for pure component properties and phase equilibria prediction for organic systems

Rafiqul Gani, Jens Abildskov, R. Gani, 2007 .

Method for predicting solubilities of solids in mixed solvents

J. Abildskov, J. O’Connell, Martin Dela Ellegaard, 2009 .

RECENT PROGRESS IN MIXED SOLVENT SOLUBILITY ESTIMATION Solute-free nonideality

J. Abildskov, M. E. Christensen, 2008 .

CAMD for entrainer screening of extractive distillation process based on new thermodynamic criteria

Xinqiang You, V. Gerbaud, J. Abildskov, 2018, Chemical Engineering Research and Design.

On the thermodynamics of biocatalytic reactions with application of group-contribution correlation and prediction

J. Woodley, J. Abildskov, J. O’Connell, 2020, Fluid Phase Equilibria.

Scale-up Modeling of a Pharmaceutical Antisolvent Crystallization via a Hybrid Method of Computational Fluid Dynamics and Compartmental Modeling

G. Sin, S. Stocks, J. Abildskov, 2019, Computer Aided Chemical Engineering.

Chapter 4 – Models for Liquid Phase Activity Coefficients - UNIFAC

R. Gani, J. Abildskov, G. Kontogeorgis, 2004 .

Solubility and Related Properties of Large Complex Chemicals – Part 2

Jens Abildskov, J. Abildskov, 2005 .

Process Simulation and Evaluation for NH3/CO2 Separation from Melamine Tail Gas with Protic Ionic Liquids

Xiangping Zhang, J. Abildskov, Haifeng Dong, 2022, Separation and Purification Technology.

Representation and Validation of Liquid Densities for Pure Compounds and Mixtures

M. Frenkel, V. Diky, K. Kroenlein, 2015 .

The CAPEC Database

R. Gani, J. Abildskov, P. Harper, 2001 .

Molecular Thermodynamic Modeling and Design of Microencapsulation Systems for Drug Delivery

J. Abildskov, J. O’Connell, 2011 .

Methodology for Developing a Diesel Exhaust After Treatment Simulation Tool

Andreas Åberg, J. Abildskov, J. Huusom, 2017 .

Uncertainty Analysis of the Experimental Results of Air Conditioner Performance due to the Uncertainty of the Equation of State

Shengwei Wang, G. Sin, J. Abildskov, 2018 .

Classification of Properties Pure

R. Gani, J. Abildskov, P. Harper, 2000 .

Data Quality and Assessment, Validation Methods and Error Propagation through the Simulation Software: Report from the Round-Table Discussion at the 10th World Congress of Chemical Engineering in Barcelona (October 1-5, 2017).

J. Abildskov, P. Mathias, J. de Hemptinne, 2018, Chemical engineering research & design : transactions of the Institution of Chemical Engineers.

Correlation of phase equilibria and liquid densities for gases with ionic liquids

J. Abildskov, J. O’Connell, Martin Dela Ellegaard, 2009 .

Thermodynamic Modelling as a Tool in the Design of Microsphere Controlled-Delivery Systems

J. Abildskov, I. Kouskoumvekaki, 2006 .

Molecular correlation function integrals for condensed systems with solid-liquid-liquid equilibria

J. Abildskov, J. O’Connell, J. Rotrekl, 2022, Journal of Molecular Liquids.

Industrial ion-exchange chromatography development using discontinuous Galerkin methods coupled with forward sensitivity analysis.

J. Abildskov, Ernst Broberg Hansen, Kristian Meyer, 2022, Journal of chromatography. A.

Evaluation of binary solvent mixtures for efficient monoacylglycerol production by continuous enzymatic glycerolysis.

A. Jensen, S. Kiil, J. Abildskov, 2006, Journal of agricultural and food chemistry.

Computer-aided solvent screening for biocatalysis

Jens Abildskov, L.A.M. van den Broek, J. Abildskov, 2013 .

Protein dynamics in organic media at varying water activity studied by molecular dynamics simulation.

G. Peters, J. Abildskov, R. Wedberg, 2012, The journal of physical chemistry. B.

Thermodynamic method for obtaining the solubilities of complex medium-sized chemicals in pure and mixed solvents

J. Abildskov, J. O’Connell, 2005 .

Reliable Correlation for Liquid–Liquid Equilibria outside the Critical Region

J. Abildskov, J. O’Connell, A. Zubov, 2017 .

A method for prediction of UNIFAC group interaction parameters

R. Gani, J. Abildskov, Hugo Edson González, 2007 .

Densities of Pure Ionic Liquids and Mixtures: Modeling and Data Analysis

J. Abildskov, J. O’Connell, 2015, Journal of Solution Chemistry.

Pair correlation function integrals: computation and use.

G. Peters, J. Abildskov, J. O’Connell, 2011, The Journal of chemical physics.

Total and direct correlation function integrals from molecular simulation of binary systems

G. Peters, J. Abildskov, J. O’Connell, 2011 .

Solubilities of gases in ionic liquids using a corresponding-states approach to Kirkwood-Buff solution theory

J. Abildskov, J. O’Connell, Martin Dela Ellegaard, 2011 .

The use of VMD data/model to test different thermodynamic models for vapour-liquid equilibrium

Jens Abildskov, Gunnar Eigil Jonsson, M. A. Izquierdo-Gil, 2004 .

Vapour liquid equilibria of monocaprylin plus palmitic acid or methyl stearate at P = (1.20 and 2.50) kPa by using DSC technique

Rafiqul Gani, Bent Sarup, Jens Abildskov, 2015 .

Analysis of infinite dilution activity coefficients of solutes in hydrocarbons from UNIFAC

Rafiqul Gani, Jens Abildskov, R. Gani, 2001 .

Modelling of tetrahydrofuran promoted gas hydrate systems for carbon dioxide capture processes

J. Abildskov, N. Solms, K. Thomsen, 2014 .

Phase behavior of mixtures of ionic liquids and organic solvents

J. Abildskov, J. O’Connell, Martin Dela Ellegaard, 2010 .

Densities and isothermal compressibilities of ionic liquids—Modeling and application

Jens Abildskov, J. Abildskov, J. O’Connell, 2010 .

Prediction of solubilities of complex medium-sized chemicals. Solutes in pure solvents, mixed solvents and cosolvent mixtures

J. Abildskov, J. O’Connell, 2005 .

Total correlation function integrals and isothermal compressibilities from molecular simulations

G. Peters, J. Abildskov, R. Wedberg, 2008 .

UNIFAC Parameters for Four New Groups

Jens Abildskov, J. Abildskov, Kenneth Balslev, 2002 .

Combining Group-Contribution Concept and Graph Neural Networks Toward Interpretable Molecular Property Models

G. Sin, J. Abildskov, S. Mansouri, 2023, J. Chem. Inf. Model..

Beyond basic UNIFAC

R. Gani, J. Abildskov, P. Rasmussen, 1999 .

Thermodynamic Models from Fluctuation Solution Theory Analysis of Molecular Simulations

G. Peters, J. Abildskov, F. Y. Hansen, 2007 .

Covariance-Based Uncertainty Analysis of Reference Equations of State

Shengwei Wang, G. Sin, J. Abildskov, 2020, Journal of Chemical & Engineering Data.

The Solvent Selection framework: solvents for organic synthesis, separation processes and ionic liquids solvents

Gürkan Sin, Rafiqul Gani, Jens Abildskov, 2012 .

Control Benchmark for Solvent Recovery by Distillation

Jakob Kjøbsted Huusom, Jens Abildskov, Miguel Mauricio Iglesias, 2014 .

Raw material quality assessment approaches comparison in pectin production

P. A. Santacoloma, Jens Abildskov, Thomas Skov, 2018, Biotechnology progress.

Estimation of mixture properties from first- and second-order group contributions with the UNIFAC model

Rafiqul Gani, Jens Abildskov, José Cobas, 2002 .

Modelling of cyclopentane promoted gas hydrate systems for carbon dioxide capture processes

J. Abildskov, N. Solms, K. Thomsen, 2014 .

Application of the cubic-plus-association (CPA) equation of state to model the fluid phase behaviour of binary mixtures of water and tetrahydrofuran

J. Abildskov, N. Solms, K. Thomsen, 2013 .

Thermodynamic and Process Modelling of Gas Hydrate Systems in CO2 Capture Processes

J. Abildskov, N. Solms, K. Thomsen, 2013 .

A general model for membrane-based separation processes

Rafiqul Gani, Jens Abildskov, V. Soni, 2009, Comput. Chem. Eng..

A stabilized nodal spectral solver for liquid chromatography models

Jakob Kjøbsted Huusom, Jens Abildskov, Kristian Meyer, 2019, Comput. Chem. Eng..

Good reporting practice for thermophysical and thermochemical property measurements (IUPAC Technical Report)

K. Joback, V. Diky, U. Kattner, 2021, Pure and applied chemistry. Chimie pure et appliquee.

Measuring and modelling of the combined thermodynamic promoting effect of tetrahydrofuran and cyclopentane on carbon dioxide hydrates

J. Abildskov, N. Solms, K. Thomsen, 2014 .

Lumped parameter model for prediction of initial breakthrough profiles for the chromatographic capture of antibodies from a complex feedstock.

Jens Abildskov, J. Abildskov, O. Thomas, 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

Application of interpretable group-embedded graph neural networks for pure compound properties

G. Sin, J. Abildskov, Fan Fan, 2023, Comput. Chem. Eng..

A mass and energy balance stage model for cyclic distillation

Jakob Kjøbsted Huusom, Seyed Soheil Mansouri, Xiangping Zhang, 2020 .

Model-Based Calculation of Solid Solubility for Solvent Selection—A Review

Rafiqul Gani, Jens Abildskov, Elisa Conte, 2008 .

Dynamic modelling of pectin extraction describing yield and functional characteristics

Krist V. Gernaey, Jakob Kjøbsted Huusom, P. A. Santacoloma, 2017 .

Mobile pilot plant for CO2 capture in biogas upgrading using 30 wt% MEA

J. Abildskov, P. Fosbøl, R. Neerup, 2023, Fuel.

Development of Group ContributionPlus Models for Properties of Organic Chemical Systems

Rafiqul Gani, Jens Abildskov, Hugo Edson Gonzalez Villalba, 2006 .

Quantitative metrics for evaluating reactive cyclic distillation performance

Xiangping Zhang, J. Abildskov, J. Huusom, 2022, Chemical Engineering and Processing - Process Intensification.

Chemical Product Design: A New Challenge of Applied Thermodynamics

Jens Abildskov, Georgios M. Kontogeorgis, J. Abildskov, 2004 .

Independent Validation of an In Silico Tool for a Pilot-Scale Pharmaceutical Crystallization Process Development

Gürkan Sin, Jens Abildskov, Stuart M. Stocks, 2021, Processes.

The importance/role of education in chemical engineering

M. Liauw, J. Abildskov, J. Glassey, 2022, Chemical Engineering Research and Design.

Reverse Engineering of Working Fluid Selection for Industrial Heat Pump Based on Monte Carlo Sampling and Uncertainty Analysis

Brian Elmegaard, Gürkan Sin, Benjamin Zühlsdorf, 2018, Industrial & Engineering Chemistry Research.

Efficient Implicit-Explicit Time Stepping for Accurate and Rapid Simulation of Chromatographic Models

Jakob Kjøbsted Huusom, Jens Abildskov, Kristian Meyer, 2018 .

Parameter estimation and analysis of an automotive heavy-duty SCR catalyst model

Jakob Kjøbsted Huusom, Jens Abildskov, Anders Widd, 2017 .

Comparison of Group-Contribution and Machine Learning-based Property Prediction Models with Uncertainty Quantification

Gürkan Sin, Jens Abildskov, Resul Al, 2021, 31st European Symposium on Computer Aided Process Engineering.

Supervisory Model Predictive Control of the Heat Integrated Distillation Column

Jakob Kjøbsted Huusom, Jens Abildskov, Thomas Bisgaard, 2017 .

Optimal operation and stabilising control of the concentric heat-integrated distillation column (HIDiC)

Jakob Kjøbsted Huusom, Sigurd Skogestad, Jens Abildskov, 2017, Comput. Chem. Eng..

Computer-aided molecular product-process design under property uncertainties - A Monte Carlo based optimization strategy

Gürkan Sin, John M. Woodley, Stefano Cignitti, 2019, Comput. Chem. Eng..

9. Molecular Thermodynamic Modeling of Fluctuation Solution Theory Properties

J. Abildskov, J. O’Connell, 2016 .

Methodology for Analysing the NOx-NH3 Trade-off for the Heavy-duty Automotive SCR Catalyst

Jakob Kjøbsted Huusom, Jens Abildskov, Anders Widd, 2017 .

Analysing separation and reaction stage performance in a reactive cyclic distillation process

Xiangping Zhang, J. Abildskov, J. Huusom, 2021 .

Uncertainty Estimation in Deep Learning‐Based Property Models: Graph Neural Networks Applied to The Critical Properties

J. Abildskov, A. R. Aouichaoui, Seyed Soheil, 2022 .

Systematic Optimization-Based Integrated Chemical Product–Process Design Framework

J. Woodley, J. Abildskov, S. Mansouri, 2018 .

Chemically Structured Products: Simultaneous model-based design of process and assisting structured materials

Rafiqul Gani, Jens Abildskov, Gunnar Eigil Jonsson, 2008 .

Prediction of gas solubilities in elastomeric polymers for the design of thermopane windows

J. Abildskov, G. Kontogeorgis, Peter Thorlaksen, 2003 .

High-order approximation of chromatographic models using a nodal discontinuous Galerkin approach

J. Abildskov, J. Huusom, Kristian Meyer, 2018, Comput. Chem. Eng..

Methodology for Analysing the NOx-NH3 Trade-off for the Heavy-duty Automotive SCR Catalyst

Anders Widd, Andreas Åberg, J. Abildskov, 2017 .

Methodology for Analysing the NOx-NH3 Trade-off for the Heavy-duty Automotive SCR

Anders Widd, J. Abildskov, J. Huusom, 2017 .

Pair correlation function integrals: computation and use.

G. Peters, J. Abildskov, J. O’Connell, 2011, The Journal of chemical physics.

Analysis and model-based optimization of a pectin extraction process

P. A. Santacoloma, Ricardo F Caroço, J. Abildskov, 2019, Journal of Food Engineering.

Modeling and analysis of vacuum membrane distillation for the recovery of volatile aroma compounds from black currant juice

Rafiqul Gani, Jens Abildskov, Gunnar Eigil Jonsson, 2008 .

EFCE Bologna Recommendations

Jens Abildskov, J. Abildskov, 2005 .

Thermodynamic promotion of carbon dioxide-clathrate hydrate formation by tetrahydrofuran, cyclopentane and their mixtures

J. Abildskov, N. Solms, K. Thomsen, 2013 .

A Novel Method for Detecting and Computing Univolatility Curves in Ternary Mixtures

V. Gerbaud, J. Abildskov, I. Rodríguez-Donis, 2017 .

Computer-aided polymer design using group contribution plus property models

Rafiqul Gani, Jens Abildskov, Kavitha C. Satyanarayana, 2009, Comput. Chem. Eng..

Polymer Property Modeling Using Grid Technology for Design of Structured Products

Rafiqul Gani, Jens Abildskov, Kavitha Chelakara Satyanarayana, 2007 .

Computer Aided Polymer Design Using Group Contribution Techniques

Rafiqul Gani, Peter Mathias Harper, Martin Hostrup, 2006 .