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Kai Sundmacher
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2020 – today
- 2024
- [j31]Luisa Peterson, Jens Bremer, Kai Sundmacher:
Challenges in data-based reactor modeling: A critical analysis of purely data-driven and hybrid models for a CSTR case study. Comput. Chem. Eng. 184: 108643 (2024) - [c2]Mikhail Kakanov, Sandesh Athni Hiremath, Andreas Voigt, Kai Sundmacher, Naim Bajçinca:
Learnable Adaptive and Robust Controller for a Two Particle Carbonate Precipitation Process. ECC 2024: 3868-3875 - [i2]Ion Victor Gosea, Luisa Peterson, Pawan Goyal, Jens Bremer, Kai Sundmacher, Peter Benner:
Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference. CoRR abs/2402.17698 (2024) - 2022
- [j30]Zihao Wang, Yageng Zhou, Teng Zhou, Kai Sundmacher:
Identification of optimal metal-organic frameworks by machine learning: Structure decomposition, feature integration, and predictive modeling. Comput. Chem. Eng. 160: 107739 (2022) - [i1]Edgar Ivan Sanchez Medina, Steffen Linke, Martin Stoll, Kai Sundmacher:
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution. CoRR abs/2212.01199 (2022) - 2021
- [j29]Jennifer Uebbing, Lorenz T. Biegler, Liisa K. Rihko-Struckmann, Sebastian Sager, Kai Sundmacher:
Optimization of pressure swing adsorption via a trust-region filter algorithm and equilibrium theory. Comput. Chem. Eng. 151: 107340 (2021) - [j28]Feng Qian, Yaochu Jin, Si-Zhao Joe Qin, Kai Sundmacher:
Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3294-3295 (2021) - 2020
- [j27]Andreas Himmel, Sebastian Sager, Kai Sundmacher:
Time-minimal set point transition for nonlinear SISO systems under different constraints. Autom. 114: 108806 (2020) - [j26]Melanie Fachet, Carina Witte, Robert J. Flassig, Liisa K. Rihko-Struckmann, Zaid McKie-Krisberg, Jürgen E. W. Polle, Kai Sundmacher:
Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina. BMC Bioinform. 21(1): 1 (2020)
2010 – 2019
- 2019
- [j25]Georg Liesche, Kai Sundmacher:
Radiation-based model reduction for the optimization of high temperature tube bundle reactors: Synthesis of hydrogen cyanide. Comput. Chem. Eng. 127: 186-199 (2019) - 2018
- [j24]Dennis Pischel, Kai Sundmacher, Robert J. Flassig:
Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems. Bioinform. 34(16): 2880 (2018) - [j23]Erdal Aydin, Dominique Bonvin, Kai Sundmacher:
NMPC using Pontryagin's Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty. Comput. Chem. Eng. 108: 47-56 (2018) - [j22]Katharina Zähringer, Lisa-Maria Wagner, Dominique Thévenin, Patrick Siegmund, Kai Sundmacher:
Particle-image-velocimetry measurements in organic liquid multiphase systems for an optimal reactor design and operation. J. Vis. 21(1): 5-17 (2018) - [j21]Jörn H. Buchbinder, Dennis Pischel, Kai Sundmacher, Robert J. Flassig, Inna N. Lavrik:
Quantitative single cell analysis uncovers the life/death decision in CD95 network. PLoS Comput. Biol. 14(9) (2018) - 2017
- [j20]Dennis Pischel, Kai Sundmacher, Robert J. Flassig:
Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems. Bioinform. 33(14): i319-i324 (2017) - [j19]Erdal Aydin, Dominique Bonvin, Kai Sundmacher:
Dynamic optimization of constrained semi-batch processes using Pontryagin's minimum principle - An effective quasi-Newton approach. Comput. Chem. Eng. 99: 135-144 (2017) - [j18]H. Eisenschmidt, M. Soumaya, Naim Bajçinca, Sabine Le Borne, Kai Sundmacher:
Estimation of aggregation kernels based on Laurent polynomial approximation. Comput. Chem. Eng. 103: 210-217 (2017) - [j17]Kevin McBride, Nicolas M. Kaiser, Kai Sundmacher:
Integrated reaction-extraction process for the hydroformylation of long-chain alkenes with a homogeneous catalyst. Comput. Chem. Eng. 105: 212-223 (2017) - [j16]Jens Bremer, Pawan Goyal, Lihong Feng, Peter Benner, Kai Sundmacher:
POD-DEIM for efficient reduction of a dynamic 2D catalytic reactor model. Comput. Chem. Eng. 106: 777-784 (2017) - 2016
- [j15]Alexander Zinser, Liisa K. Rihko-Struckmann, Kai Sundmacher:
Dynamic method for computation of chemical and phase equilibria. Comput. Chem. Eng. 89: 1-10 (2016) - [j14]Nicolas M. Kaiser, Robert J. Flassig, Kai Sundmacher:
Probabilistic reactor design in the framework of elementary process functions. Comput. Chem. Eng. 94: 45-59 (2016) - 2015
- [j13]Robert J. Flassig, Iryna Migal, Esther der Zalm, Liisa K. Rihko-Struckmann, Kai Sundmacher:
Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions. BMC Bioinform. 16: 13:1-13:13 (2015) - [j12]Sabine Le Borne, Lusine Shahmuradyan, Kai Sundmacher:
Fast evaluation of univariate aggregation integrals on equidistant grids. Comput. Chem. Eng. 74: 115-127 (2015) - [j11]Naim Bajçinca, Steffen Hofmann, Dmytro Bielievtsov, Kai Sundmacher:
Approximate ODE models for population balance systems. Comput. Chem. Eng. 74: 158-168 (2015) - 2014
- [e1]Peter Benner, Rolf Findeisen, Dietrich Flockerzi, Udo Reichl, Kai Sundmacher:
Large-Scale Networks in Engineering and Life Sciences. Modeling and Simulation in Science, Engineering and Technology, Springer 2014, ISBN 978-3-319-08436-7 [contents] - 2013
- [j10]Robert J. Flassig, Sandra Heise, Kai Sundmacher, Steffen Klamt:
An effective framework for reconstructing gene regulatory networks from genetical genomics data. Bioinform. 29(2): 246-254 (2013) - 2012
- [j9]Robert J. Flassig, Kai Sundmacher:
Optimal design of stimulus experiments for robust discrimination of biochemical reaction networks. Bioinform. 28(23): 3089-3096 (2012) - 2011
- [j8]Wolfram Heineken, Dietrich Flockerzi, Andreas Voigt, Kai Sundmacher:
Dimension reduction of bivariate population balances using the quadrature method of moments. Comput. Chem. Eng. 35(1): 50-62 (2011) - [j7]Rayees Ahamed Imam, Hannsjörg Freund, Kai Sundmacher:
Dynamics of liquid-liquid systems based on linear thermodynamics of irreversible processes. Comput. Chem. Eng. 35(4): 630-637 (2011) - 2010
- [j6]Steffen Klamt, Robert J. Flassig, Kai Sundmacher:
TRANSWESD: inferring cellular networks with transitive reduction. Bioinform. 26(17): 2160-2168 (2010)
2000 – 2009
- 2009
- [j5]Gabriel Radulescu, Jignesh Gangadwala, Nicolae Paraschiv, Achim Kienle, Kai Sundmacher:
Dynamics of reactive distillation processes with potential liquid phase splitting based on equilibrium stage models. Comput. Chem. Eng. 33(3): 590-597 (2009) - [c1]Juan G. Díaz Ochoa, Andreas Voigt, Heiko Briesen, Kai Sundmacher:
Time Dependent Virus Replication in Cell Cultures. Complex (1) 2009: 651-656 - 2008
- [j4]Jürgen Koch, Wolfgang Hackbusch, Kai Sundmacher:
H-matrix methods for quadratic integral operators appearing in population balances. Comput. Chem. Eng. 32(8): 1789-1809 (2008) - 2007
- [j3]Jürgen Koch, Wolfgang Hackbusch, Kai Sundmacher:
H-matrix methods for linear and quasi-linear integral operators appearing in population balances. Comput. Chem. Eng. 31(7): 745-759 (2007) - [j2]Jignesh Gangadwala, Gabriel Radulescu, Achim Kienle, Kai Sundmacher:
Computer aided design of reactive distillation processes for the treatment of waste waters polluted with acetic acid. Comput. Chem. Eng. 31(11): 1535-1547 (2007) - 2005
- [j1]Frank Steyer, Dietrich Flockerzi, Kai Sundmacher:
Equilibrium and rate-based approaches to liquid-liquid phase splitting calculations. Comput. Chem. Eng. 30(2): 277-284 (2005)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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