Alexander Mitsos
Orcid: 0000-0003-0335-6566Affiliations:
- RWTH Aachen University, Germany
According to our database1,
Alexander Mitsos
authored at least 96 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on zbmath.org
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on biosc.de
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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
2024
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms.
SIAM J. Sci. Comput., 2024
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization.
CoRR, 2024
CoRR, 2024
Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks.
CoRR, 2024
2023
Optim. Methods Softw., November, 2023
Demand response scheduling of copper production under short-term electricity price uncertainty.
Comput. Chem. Eng., October, 2023
Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation.
Comput. Chem. Eng., July, 2023
Physical pooling functions in graph neural networks for molecular property prediction.
Comput. Chem. Eng., April, 2023
Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids.
Comput. Chem. Eng., March, 2023
Geometry optimization of a continuous millireactor via CFD and Bayesian optimization.
Comput. Chem. Eng., March, 2023
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory.
CoRR, 2023
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis.
CoRR, 2023
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control.
CoRR, 2023
CoRR, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables.
Math. Methods Oper. Res., 2022
J. Glob. Optim., 2022
Data-Driven Nonlinear Model Reduction Using Koopman Theory: Integrated Control Form and NMPC Case Study.
IEEE Control. Syst. Lett., 2022
Graph neural networks for the prediction of molecular structure-property relationships.
CoRR, 2022
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows.
CoRR, 2022
Comput. Chem. Eng., 2022
Simultaneously optimizing bidding strategy in pay-as-bid-markets and production scheduling.
Comput. Chem. Eng., 2022
Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning.
Comput. Chem. Eng., 2022
Comput. Chem. Eng., 2022
Direct single shooting for dynamic optimization of differential-algebraic equation systems with optimization criteria embedded.
Comput. Chem. Eng., 2022
Simultaneous optimization of design and operation of an air-cooled geothermal ORC under consideration of multiple operating points.
Comput. Chem. Eng., 2022
Simultaneous deterministic global flowsheet optimization and heat integration: Comparison of formulations.
Comput. Chem. Eng., 2022
Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators.
Comput. Chem. Eng., 2022
Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models.
Comput. Chem. Eng., 2022
Comput. Chem. Eng., 2022
IEEE Access, 2022
2021
Math. Program. Comput., 2021
J. Optim. Theory Appl., 2021
Linearization of McCormick relaxations and hybridization with the auxiliary variable method.
J. Glob. Optim., 2021
Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb.
Frontiers Bioinform., 2021
EURO J. Comput. Optim., 2021
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows.
CoRR, 2021
Nonlinear model predictive control of ultra-high-purity air separation units using transient wave propagation model.
Comput. Chem. Eng., 2021
Comput. Chem. Eng., 2021
2020
Comput. Chem. Eng., 2020
Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices.
Comput. Chem. Eng., 2020
Model compendium, data, and optimization benchmarks for sector-coupled energy systems.
Comput. Chem. Eng., 2020
Simulation of differential-algebraic equation systems with optimization criteria embedded in Modelica.
Comput. Chem. Eng., 2020
Comput. Chem. Eng., 2020
Comput. Chem. Eng., 2020
Comput. Chem. Eng., 2020
Dynamic optimization with complementarity constraints: Smoothing for direct shooting.
Comput. Chem. Eng., 2020
Modular modeling of electrochemical reactors: Comparison of CO<sub>2</sub>-electolyzers.
Comput. Chem. Eng., 2020
Converting networks to predictive logic models from perturbation signalling data with CellNOpt.
Bioinform., 2020
Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization.
Autom., 2020
2019
J. Optim. Theory Appl., 2019
Discretization-based algorithms for generalized semi-infinite and bilevel programs with coupling equality constraints.
J. Glob. Optim., 2019
Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks.
Comput. Chem. Eng., 2019
Model-based bidding strategies on the primary balancing market for energy-intense processes.
Comput. Chem. Eng., 2019
Optimal operation of dynamic (energy) systems: When are quasi-steady models adequate?
Comput. Chem. Eng., 2019
Comput. Chem. Eng., 2019
Dynamic optimization of an emulsion copolymerization process for product quality using a deterministic kinetic model with embedded Monte Carlo simulations.
Comput. Chem. Eng., 2019
2018
Bounded-error optimal experimental design via global solution of constrained min-max program.
Comput. Chem. Eng., 2018
Robust dynamic optimization of batch processes under parametric uncertainty: Utilizing approaches from semi-infinite programs.
Comput. Chem. Eng., 2018
Comput. Chem. Eng., 2018
2017
A hybrid discretization algorithm with guaranteed feasibility for the global solution of semi-infinite programs.
J. Glob. Optim., 2017
Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations.
J. Glob. Optim., 2017
Systematic approach for modeling reaction networks involving equilibrium and kinetically-limited reaction steps.
Comput. Chem. Eng., 2017
Multi-model approach based on parametric sensitivities - A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties.
Comput. Chem. Eng., 2017
Thermodynamic analysis of formulations to discriminate multiple roots of cubic equations of state in process models.
Comput. Chem. Eng., 2017
2016
2015
Global optimization of generalized semi-infinite programs via restriction of the right hand side.
J. Glob. Optim., 2015
Local optimization of dynamic programs with guaranteed satisfaction of path constraints.
Autom., 2015
Proceedings of the International Conference on Computational Science, 2015
2014
2013
J. Glob. Optim., 2013
2012
2011
Combined logical and data-driven models for linking signalling pathways to cellular response.
BMC Syst. Biol., 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
2009
Identifying Drug Effects via Pathway Alterations using an Integer Linear Programming Optimization Formulation on Phosphoproteomic Data.
PLoS Comput. Biol., 2009
Parametric mixed-integer 0-1 linear programming: The general case for a single parameter.
Eur. J. Oper. Res., 2009
2008
J. Glob. Optim., 2008