Alexander Mitsos

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 99

Top Venues

Comput. Chem. Eng.

CoRR

J. Glob. Optim.

J. Optim. Theory Appl.

Publications

Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen
End-to-end reinforcement learning of Koopman models for economic nonlinear model predictive control. Comput. Chem. Eng. 190 (2024)
Susanne Sass, Alexander Mitsos, Dominik Bongartz, Ian H. Bell, Nikolay I. Nikolov, Angelos Tsoukalas
A branch-and-bound algorithm with growing datasets for large-scale parameter estimation. Eur. J. Oper. Res. 316 (1) (2024)
Chrysanthi Papadimitriou, Jan C. Schulze, Alexander Mitsos
Representative electricity price profiles for European day-ahead and intraday spot markets. CoRR (2024)
Eleni D. Koronaki, Luise F. Kaven, Johannes M. M. Faust, Ioannis G. Kevrekidis, Alexander Mitsos
Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. CoRR (2024)
Sonja H. M. Germscheid, Benedikt Nilges, Niklas von der Aßen, Alexander Mitsos, Manuel Dahmen
Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response. Comput. Chem. Eng. 185 (2024)
Daniel Mayfrank, Na-Young Ahn, Alexander Mitsos, Manuel Dahmen
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization. CoRR (2024)
Christoforos Brozos, Jan G. Rittig, Sandip Bhattacharya, Elie Akanny, Christina Kohlmann, Alexander Mitsos
Graph Neural Networks for Surfactant Multi-Property Prediction. CoRR (2024)
Christoforos Brozos, Jan G. Rittig, Sandip Bhattacharya, Elie Akanny, Christina Kohlmann, Alexander Mitsos
Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks. CoRR (2024)
Mehmet Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen
Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data. CoRR (2024)
Jan C. Schulze, Alexander Mitsos
Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study. CoRR (2024)
Jan G. Rittig, Alexander Mitsos
Thermodynamics-Consistent Graph Neural Networks. CoRR (2024)
Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions. BMC Bioinform. 25 (1) (2024)
Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. 46 (2) (2024)
Moritz J. Begall, Frank Herbstritt, Anne-Laura Sengen, Adel Mhamdi, Joachim Heck, Alexander Mitsos
Hierarchical heat transfer modeling of a continuous millireactor. Comput. Chem. Eng. 183 (2024)
Jan G. Rittig, Kobi C. Felton, Alexei A. Lapkin, Alexander Mitsos
Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction. CoRR (2023)
Sonja H. M. Germscheid, Fritz T. C. Röben, Han Sun, André Bardow, Alexander Mitsos, Manuel Dahmen
Demand response scheduling of copper production under short-term electricity price uncertainty. Comput. Chem. Eng. 178 (2023)
Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control. CoRR (2023)
Susanne Sass, Angelos Tsoukalas, Ian H. Bell, Dominik Bongartz, Jaromil Najman, Alexander Mitsos
Towards global parameter estimation exploiting reduced data sets. Optim. Methods Softw. 38 (6) (2023)
Moritz J. Begall, Artur M. Schweidtmann, Adel Mhamdi, Alexander Mitsos
Geometry optimization of a continuous millireactor via CFD and Bayesian optimization. Comput. Chem. Eng. 171 (2023)
Jan G. Rittig, Karim Ben Hicham, Artur M. Schweidtmann, Manuel Dahmen, Alexander Mitsos
Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids. Comput. Chem. Eng. 171 (2023)
Luise F. Kaven, Artur M. Schweidtmann, Jan Keil, Jana Israel, Nadja Wolter, Alexander Mitsos
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis. CoRR (2023)
Artur M. Schweidtmann, Jan G. Rittig, Jana M. Weber, Martin Grohe, Manuel Dahmen, Kai Leonhard, Alexander Mitsos
Physical pooling functions in graph neural networks for molecular property prediction. Comput. Chem. Eng. 172 (2023)
Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory. CoRR (2023)
Simone Mucci, Alexander Mitsos, Dominik Bongartz
Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation. Comput. Chem. Eng. 175 (2023)
Eike Cramer, Felix Rauh, Alexander Mitsos, Raúl Tempone, Manuel Dahmen
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows. CoRR (2022)
Eike Cramer, Leonard Paeleke, Alexander Mitsos, Manuel Dahmen
Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators. Comput. Chem. Eng. 166 (2022)
Andreas M. Bremen, Katharina M. Ebeling, Victor Schulte, Jan Pavsek, Alexander Mitsos
Dynamic modeling of aqueous electrolyte systems in Modelica. Comput. Chem. Eng. 166 (2022)
Daniel Jungen, Hatim Djelassi, Alexander Mitsos
Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables. Math. Methods Oper. Res. 96 (1) (2022)
Tim Varelmann, Adrian W. Lipow, Michael Baldea, Alexander Mitsos
Advanced feasibility cuts in decoupled cooperative optimization of power flow. Comput. Chem. Eng. 157 (2022)
Tobias Ploch, Jens Deussen, Uwe Naumann, Alexander Mitsos, Ralf Hannemann-Tamás
Direct single shooting for dynamic optimization of differential-algebraic equation systems with optimization criteria embedded. Comput. Chem. Eng. 159 (2022)
Chrysoula Dimitra Kappatou, Dominik Bongartz, Jaromil Najman, Susanne Sass, Alexander Mitsos
Global dynamic optimization with Hammerstein-Wiener models embedded. J. Glob. Optim. 84 (2) (2022)
Eike Cramer, Leonard Paeleke, Alexander Mitsos, Manuel Dahmen
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators. CoRR (2022)
Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR (2022)
Eike Cramer, Dirk Witthaut, Alexander Mitsos, Manuel Dahmen
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows. CoRR (2022)
Adrian Caspari, Steffen Fahr, Alexander Mitsos
Optimal Eco-Routing for Hybrid Vehicles With Powertrain Model Embedded. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Eduardo S. Schultz, Simon Olofsson, Adel Mhamdi, Alexander Mitsos
Satisfaction of path chance constraints in dynamic optimization problems. Comput. Chem. Eng. 164 (2022)
Jan G. Rittig, Karim Ben Hicham, Artur M. Schweidtmann, Manuel Dahmen, Alexander Mitsos
Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids. CoRR (2022)
Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen
Validation Methods for Energy Time Series Scenarios From Deep Generative Models. IEEE Access 10 (2022)
Artur M. Schweidtmann, Jan G. Rittig, Jana M. Weber, Martin Grohe, Manuel Dahmen, Kai Leonhard, Alexander Mitsos
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction. CoRR (2022)
Jan C. Schulze, Alexander Mitsos
Data-Driven Nonlinear Model Reduction Using Koopman Theory: Integrated Control Form and NMPC Case Study. IEEE Control. Syst. Lett. 6 (2022)
Jannik Burre, Christoph Kabatnik, Mohamed Al-Khatib, Dominik Bongartz, Andreas Jupke, Alexander Mitsos
Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models. Comput. Chem. Eng. 162 (2022)
Steffen Fahr, Alexander Mitsos, Dominik Bongartz
Simultaneous deterministic global flowsheet optimization and heat integration: Comparison of formulations. Comput. Chem. Eng. 162 (2022)
Kilian Merkelbach, Artur M. Schweidtmann, Younes Müller, Patrick Schwoebel, Adel Mhamdi, Alexander Mitsos, Andreas Schuppert, Thomas Mrziglod, Sebastian Schneckener
HybridML: Open source platform for hybrid modeling. Comput. Chem. Eng. 160 (2022)
Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Stefanie Winkler, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, Martin Grohe, Alexander Mitsos, Manuel Dahmen
Graph Machine Learning for Design of High-Octane Fuels. CoRR (2022)
Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos
Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning. Comput. Chem. Eng. 161 (2022)
Tim Varelmann, Nils Erwes, Pascal Schäfer, Alexander Mitsos
Simultaneously optimizing bidding strategy in pay-as-bid-markets and production scheduling. Comput. Chem. Eng. 157 (2022)
Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos
Identification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning. CoRR (2022)
Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann
Graph neural networks for the prediction of molecular structure-property relationships. CoRR (2022)
Marco Langiu, Manuel Dahmen, Alexander Mitsos
Simultaneous optimization of design and operation of an air-cooled geothermal ORC under consideration of multiple operating points. Comput. Chem. Eng. 161 (2022)
Hatim Djelassi, Alexander Mitsos, Oliver Stein
Recent advances in nonconvex semi-infinite programming: Applications and algorithms. EURO J. Comput. Optim. 9 (2021)
Jaromil Najman, Dominik Bongartz, Alexander Mitsos
Linearization of McCormick relaxations and hybridization with the auxiliary variable method. J. Glob. Optim. 80 (4) (2021)
Jan C. Schulze, Adrian Caspari, Christoph Offermanns, Adel Mhamdi, Alexander Mitsos
Nonlinear model predictive control of ultra-high-purity air separation units using transient wave propagation model. Comput. Chem. Eng. 145 (2021)
Eike Cramer, Alexander Mitsos, Raúl Tempone, Manuel Dahmen
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows. CoRR (2021)
Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromil Najman, Alexander Mitsos
Deterministic global optimization with Gaussian processes embedded. Math. Program. Comput. 13 (3) (2021)
Ulf W. Liebal, Sebastian Köbbing, Linus Netze, Artur M. Schweidtmann, Alexander Mitsos, Lars M. Blank
Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb. Frontiers Bioinform. 1 (2021)
Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen
Validation Methods for Energy Time Series Scenarios from Deep Generative Models. CoRR (2021)
Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener
Design of Dynamic Experiments for Black-Box Model Discrimination. CoRR (2021)
Marco Langiu, David Yang Shu, Florian Joseph Baader, Dominik Hering, Uwe Bau, André Xhonneux, Dirk Müller, André Bardow, Alexander Mitsos, Manuel Dahmen
COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization. Comput. Chem. Eng. 152 (2021)
Efstratios N. Pistikopoulos, Ana Barbosa-Póvoa, Jay H. Lee, Ruth Misener, Alexander Mitsos, Gintaras V. Reklaitis, Venkat Venkatasubramanian, Fengqi You, Rafiqul Gani
. Comput. Chem. Eng. 147 (2021)
Hatim Djelassi, Alexander Mitsos
Global Solution of Semi-infinite Programs with Existence Constraints. J. Optim. Theory Appl. 188 (3) (2021)
Luisa C. Brée, Matthias Wessling, Alexander Mitsos
-electolyzers. Comput. Chem. Eng. 139 (2020)
Susanne Sass, Timm Faulwasser, Dinah Elena Hollermann, Chrysoula Dimitra Kappatou, Dominique Sauer, Thomas Schütz, David Yang Shu, André Bardow, Lutz Gröll, Veit Hagenmeyer, Dirk Müller, Alexander Mitsos
Model compendium, data, and optimization benchmarks for sector-coupled energy systems. Comput. Chem. Eng. 135 (2020)
Eduardo S. Schultz, Ralf Hannemann-Tamás, Alexander Mitsos
Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization. Autom. 111 (2020)
Adrian Caspari, Lukas Lüken, Pascal Schäfer, Yannic Vaupel, Adel Mhamdi, Lorenz T. Biegler, Alexander Mitsos
Dynamic optimization with complementarity constraints: Smoothing for direct shooting. Comput. Chem. Eng. 139 (2020)
Preet Joy, Adel Mhamdi, Alexander Mitsos
Optimization-based observability analysis. Comput. Chem. Eng. 140 (2020)
Eduardo S. Schultz, Ralf Hannemann-Tamás, Alexander Mitsos
Polynomial approximation of inequality path constraints in dynamic optimization. Comput. Chem. Eng. 135 (2020)
Pascal Schäfer, Artur M. Schweidtmann, Philipp H. A. Lenz, Hannah M. C. Markgraf, Alexander Mitsos
Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices. Comput. Chem. Eng. 132 (2020)
Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromil Najman, Alexander Mitsos
Global Optimization of Gaussian processes. CoRR (2020)
Enio Gjerga, Panuwat Trairatphisan, Attila Gábor, Hermann Koch, Céline Chevalier, Franceco Ceccarelli, Aurélien Dugourd, Alexander Mitsos, Julio Saez-Rodriguez, Jonathan D. Wren
Converting networks to predictive logic models from perturbation signalling data with CellNOpt. Bioinform. 36 (16) (2020)
Andrea König, Lisa Neidhardt, Jörn Viell, Alexander Mitsos, Manuel Dahmen
Integrated design of processes and products: Optimal renewable fuels. Comput. Chem. Eng. 134 (2020)
Chrysoula Dimitra Kappatou, Alireza Ehsani, Sebastian Niedenführ, Adel Mhamdi, Andreas Schuppert, Alexander Mitsos
Quality-targeting dynamic optimization of monoclonal antibody production. Comput. Chem. Eng. 142 (2020)
Wolfgang R. Huster, Artur M. Schweidtmann, Jannik T. Lüthje, Alexander Mitsos
Deterministic global superstructure-based optimization of an organic Rankine cycle. Comput. Chem. Eng. 141 (2020)
Tobias Ploch, Eric von Lieres, Wolfgang Wiechert, Alexander Mitsos, Ralf Hannemann-Tamás
Simulation of differential-algebraic equation systems with optimization criteria embedded in Modelica. Comput. Chem. Eng. 140 (2020)
Jaromil Najman, Dominik Bongartz, Alexander Mitsos
Convex relaxations of componentwise convex functions. Comput. Chem. Eng. 130 (2019)
Johannes M. M. Faust, Tomas Chaloupka, Juraj Kosek, Adel Mhamdi, Alexander Mitsos
Dynamic optimization of an emulsion copolymerization process for product quality using a deterministic kinetic model with embedded Monte Carlo simulations. Comput. Chem. Eng. 130 (2019)
Artur M. Schweidtmann, Wolfgang R. Huster, Jannik T. Lüthje, Alexander Mitsos
Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks. Comput. Chem. Eng. 121 (2019)
Jaromil Najman, Alexander Mitsos
On tightness and anchoring of McCormick and other relaxations. J. Glob. Optim. 74 (4) (2019)
Susanne Sass, Alexander Mitsos
Optimal operation of dynamic (energy) systems: When are quasi-steady models adequate? Comput. Chem. Eng. 124 (2019)
Pascal Schäfer, Hermann Graf Westerholt, Artur M. Schweidtmann, Svetlina Ilieva, Alexander Mitsos
Model-based bidding strategies on the primary balancing market for energy-intense processes. Comput. Chem. Eng. 120 (2019)
Preet Joy, Hatim Djelassi, Adel Mhamdi, Alexander Mitsos
Optimization-based global structural identifiability. Comput. Chem. Eng. 128 (2019)
Artur M. Schweidtmann, Alexander Mitsos
Deterministic Global Optimization with Artificial Neural Networks Embedded. J. Optim. Theory Appl. 180 (3) (2019)
Alexander Mitsos, Jaromil Najman, Ioannis G. Kevrekidis
Correction to: Optimal deterministic algorithm generation. J. Glob. Optim. 73 (2) (2019)
Hatim Djelassi, Moll Glass, Alexander Mitsos
Discretization-based algorithms for generalized semi-infinite and bilevel programs with coupling equality constraints. J. Glob. Optim. 75 (2) (2019)
Jaromil Najman, Dominik Bongartz, Alexander Mitsos
Relaxations of thermodynamic property and costing models in process engineering. Comput. Chem. Eng. 130 (2019)
Jaromil Najman, Alexander Mitsos
Tighter McCormick relaxations through subgradient propagation. J. Glob. Optim. 75 (3) (2019)
Alexander Mitsos, Jaromil Najman, Ioannis G. Kevrekidis
Optimal deterministic algorithm generation. J. Glob. Optim. 71 (4) (2018)
Olga Walz, Hatim Djelassi, Adrian Caspari, Alexander Mitsos
Bounded-error optimal experimental design via global solution of constrained min-max program. Comput. Chem. Eng. 111 (2018)
Alexander Mitsos, Norbert Asprion, Christodoulos A. Floudas, Michael Bortz, Michael Baldea, Dominique Bonvin, Adrian Caspari, Pascal Schäfer
Challenges in process optimization for new feedstocks and energy sources. Comput. Chem. Eng. 113 (2018)
Jennifer Puschke, Hatim Djelassi, Johanna Kleinekorte, Ralf Hannemann-Tamás, Alexander Mitsos
Robust dynamic optimization of batch processes under parametric uncertainty: Utilizing approaches from semi-infinite programs. Comput. Chem. Eng. 116 (2018)
Hatim Djelassi, Alexander Mitsos
A hybrid discretization algorithm with guaranteed feasibility for the global solution of semi-infinite programs. J. Glob. Optim. 68 (2) (2017)
Moll Glass, Alexander Mitsos
Thermodynamic analysis of formulations to discriminate multiple roots of cubic equations of state in process models. Comput. Chem. Eng. 106 (2017)
Jennifer Puschke, Alexandr Zubov, Juraj Kosek, Alexander Mitsos
Multi-model approach based on parametric sensitivities - A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties. Comput. Chem. Eng. 98 (2017)
Olga Walz, Caroline Marks, Jörn Viell, Alexander Mitsos
Systematic approach for modeling reaction networks involving equilibrium and kinetically-limited reaction steps. Comput. Chem. Eng. 98 (2017)
Dominik Bongartz, Alexander Mitsos
Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations. J. Glob. Optim. 69 (4) (2017)
Jaromil Najman, Dominik Bongartz, Angelos Tsoukalas, Alexander Mitsos
Erratum to: Multivariate McCormick relaxations. J. Glob. Optim. 68 (1) (2017)
Jaromil Najman, Alexander Mitsos
Convergence analysis of multivariate McCormick relaxations. J. Glob. Optim. 66 (4) (2016)
Alexander Mitsos, Angelos Tsoukalas
Global optimization of generalized semi-infinite programs via restriction of the right hand side. J. Glob. Optim. 61 (1) (2015)
Johannes Lotz, Uwe Naumann, Ralf Hannemann-Tamás, Tobias Ploch, Alexander Mitsos
Higher-order Discrete Adjoint ODE Solver in C++ for Dynamic Optimization. ICCS (2015)
Jun Fu, Johannes M. M. Faust, Benoît Chachuat, Alexander Mitsos
Local optimization of dynamic programs with guaranteed satisfaction of path constraints. Autom. 62 (2015)
Angelos Tsoukalas, Alexander Mitsos
Multivariate McCormick relaxations. J. Glob. Optim. 59 (2-3) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Mitsos