Kai Sundmacher
Orcid: 0000-0003-3251-0593
According to our database1,
Kai Sundmacher
authored at least 36 papers
between 2005 and 2025.
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Online presence:
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on orcid.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2025
Digital twins in process engineering: An overview on computational and numerical methods.
Comput. Chem. Eng., 2025
2024
Application of a Temporal Multiscale Method for Efficient Simulation of Degradation in PEM Water Electrolysis under Dynamic Operation.
CoRR, 2024
Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference.
CoRR, 2024
Challenges in data-based reactor modeling: A critical analysis of purely data-driven and hybrid models for a CSTR case study.
Comput. Chem. Eng., 2024
Learnable Adaptive and Robust Controller for a Two Particle Carbonate Precipitation Process.
Proceedings of the European Control Conference, 2024
2022
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution.
CoRR, 2022
Identification of optimal metal-organic frameworks by machine learning: Structure decomposition, feature integration, and predictive modeling.
Comput. Chem. Eng., 2022
2021
Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing.
IEEE Trans. Neural Networks Learn. Syst., 2021
Optimization of pressure swing adsorption via a trust-region filter algorithm and equilibrium theory.
Comput. Chem. Eng., 2021
2020
Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina.
BMC Bioinform., 2020
Time-minimal set point transition for nonlinear SISO systems under different constraints.
Autom., 2020
2019
Radiation-based model reduction for the optimization of high temperature tube bundle reactors: Synthesis of hydrogen cyanide.
Comput. Chem. Eng., 2019
2018
PLoS Comput. Biol., 2018
Particle-image-velocimetry measurements in organic liquid multiphase systems for an optimal reactor design and operation.
J. Vis., 2018
NMPC using Pontryagin's Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty.
Comput. Chem. Eng., 2018
2017
Integrated reaction-extraction process for the hydroformylation of long-chain alkenes with a homogeneous catalyst.
Comput. Chem. Eng., 2017
Comput. Chem. Eng., 2017
Comput. Chem. Eng., 2017
Dynamic optimization of constrained semi-batch processes using Pontryagin's minimum principle - An effective quasi-Newton approach.
Comput. Chem. Eng., 2017
Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems.
Bioinform., 2017
2016
Comput. Chem. Eng., 2016
Comput. Chem. Eng., 2016
2015
Comput. Chem. Eng., 2015
Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions.
BMC Bioinform., 2015
2013
An effective framework for reconstructing gene regulatory networks from genetical genomics data.
Bioinform., 2013
2012
Optimal design of stimulus experiments for robust discrimination of biochemical reaction networks.
Bioinform., 2012
2011
Dynamics of liquid-liquid systems based on linear thermodynamics of irreversible processes.
Comput. Chem. Eng., 2011
Dimension reduction of bivariate population balances using the quadrature method of moments.
Comput. Chem. Eng., 2011
2010
2009
Dynamics of reactive distillation processes with potential liquid phase splitting based on equilibrium stage models.
Comput. Chem. Eng., 2009
Proceedings of the Complex Sciences, 2009
2008
Comput. Chem. Eng., 2008
2007
H-matrix methods for linear and quasi-linear integral operators appearing in population balances.
Comput. Chem. Eng., 2007
Computer aided design of reactive distillation processes for the treatment of waste waters polluted with acetic acid.
Comput. Chem. Eng., 2007
2005
Comput. Chem. Eng., 2005