Alexander Mitsos

141 papers Misc 1Journal 139Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Amortized Molecular Optimization via Group Relative Policy Optimization. CoRR Muhammad bin Javaid, Hasham Hussain, Ashima Khanna, Berke Kisin, Jonathan Pirnay, Alexander Mitsos, Dominik G. Grimm, Martin Grohe
2026	J	`jnl`	Bayesian Optimization of Partially Known Systems using Hybrid Models. CoRR Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos
2026	J	`jnl`	Clapeyron Neural Networks for Single-Species Vapor-Liquid Equilibria. CoRR Jan Pavsek, Alexander Mitsos, Elvis J. Sim, Jan G. Rittig
2026	J	`jnl`	Data-Driven Conditional Flexibility Index. CoRR Moritz Wedemeyer, Eike Cramer, Alexander Mitsos, Manuel Dahmen
2026	J	`jnl`	Differentiable Thermodynamic Phase-Equilibria for Machine Learning. CoRR Karim Ben Hicham, Moreno Ascani, Jan G. Rittig, Alexander Mitsos
2026	J	`jnl`	End-to-end reinforcement learning of Koopman models for eNMPC of an air separation unit. Comput. Chem. Eng. Daniel Mayfrank, Kayra Dernek, Laura Lang, Alexander Mitsos, Manuel Dahmen
2026	J	`jnl`	Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach. CoRR Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
2026	J	`jnl`	Predicting the equivalent alkane carbon number of oils using graph neural networks and quantum mechanical descriptors. Comput. Chem. Eng. Christoforos Brozos, Sandip Bhattacharya, Jan G. Rittig, Elie Akanny, Philipp Eiden, Alexander Mitsos
2026	J	`jnl`	Simultaneous design of microbe and bioreactor. Comput. Chem. Eng. Anita L. Ziegler, Marc-Daniel Stumm, Tim Prömper, Thomas Steimann, Jørgen B. Magnus, Alexander Mitsos
2025	J	`jnl`	A practical scenario generation method for electricity prices on day-ahead and intraday spot markets. Comput. Chem. Eng. Chrysanthi Papadimitriou, Jan C. Schulze, Alexander Mitsos
2025	J	`jnl`	Accelerating Deterministic Global Optimization via GPU-parallel Interval Arithmetic. CoRR Hongzhen Zhang, Tim Kerkenhoff, Neil Kichler, Manuel Dahmen, Alexander Mitsos, Uwe Naumann, Dominik Bongartz
2025	J	`jnl`	Cost-optimal design and operation of hydrogen refueling stations with mechanical and electrochemical hydrogen compressors. Comput. Chem. Eng. Georgia Ioanna Prokopou, Johannes M. M. Faust, Alexander Mitsos, Dominik Bongartz
2025	J	`jnl`	DeepEOSNet: Capturing the dependency on thermodynamic state in property prediction tasks. CoRR Jan Pavsek, Alexander Mitsos, Manuel Dahmen, Tai Xuan Tan, Jan G. Rittig
2025	J	`jnl`	Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do? CoRR Anastasia Georgiou, Daniel Jungen, Luise F. Kaven, Verena Hunstig, Constantine Frangakis, Ioannis G. Kevrekidis, Alexander Mitsos
2025	J	`jnl`	Discretization algorithms for generalized semi-infinite programs with coupling equality constraints under local solution stability. J. Glob. Optim. Aron Zingler, Adrian W. Lipow, Alexander Mitsos
2025	J	`jnl`	End-to-End Reinforcement Learning of Koopman Models for eNMPC of an Air Separation Unit. CoRR Daniel Mayfrank, Kayra Dernek, Laura Lang, Alexander Mitsos, Manuel Dahmen
2025	J	`jnl`	Exploring data augmentation: Multi-task methods for molecular property prediction. Comput. Chem. Eng. Muhammad bin Javaid, Timo Gervens, Alexander Mitsos, Martin Grohe, Jan G. Rittig
2025	J	`jnl`	MUSE-BB: a decomposition algorithm for nonconvex two-stage problems using strong multisection branching. J. Glob. Optim. Marco Langiu, Manuel Dahmen, Dominik Bongartz, Alexander Mitsos
2025	J	`jnl`	Molecular Machine Learning in Chemical Process Design. CoRR Jan G. Rittig, Manuel Dahmen, Martin Grohe, Philippe Schwaller, Alexander Mitsos
2025	J	`jnl`	Multi-fidelity graph neural networks for predicting toluene/water partition coefficients. J. Cheminformatics Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai Leonhard
2025	J	`jnl`	Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison. CoRR Jan C. Schulze, Alexander Mitsos
2025	J	`jnl`	Out-of-sample estimation for a branch-and-bound algorithm with growing datasets. J. Glob. Optim. Susanne Sass, Alexander Mitsos, Nikolay I. Nikolov, Angelos Tsoukalas
2025	J	`jnl`	Phase stability criteria and fluid-phase equilibria in strong-electrolyte systems. Comput. Chem. Eng. Felipe A. Perdomo, George Jackson, Alexander Mitsos, Amparo Galindo, Claire S. Adjiman
2025	J	`jnl`	Physics-informed neural networks for dynamic process operations with limited physical knowledge and data. Comput. Chem. Eng. Mehmet Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen
2025	J	`jnl`	Predicting the temperature-dependent CMC of surfactant mixtures with graph neural networks. Comput. Chem. Eng. Christoforos Brozos, Jan G. Rittig, Elie Akanny, Sandip Bhattacharya, Christina Kohlmann, Alexander Mitsos
2025	J	`jnl`	Retrofitting Ordinary Portland cement production for reduced greenhouse gas emissions. Comput. Chem. Eng. Ariana Y. Ojeda-Paredes, Alexander Mitsos, Manuel Dahmen
2025	J	`jnl`	Sample-Efficient Reinforcement Learning of Koopman eNMPC. CoRR Daniel Mayfrank, Mehmet Velioglu, Alexander Mitsos, Manuel Dahmen
2025	J	`jnl`	Sample-efficient reinforcement learning of Koopman eNMPC. Comput. Chem. Eng. Daniel Mayfrank, Mehmet Velioglu, Alexander Mitsos, Manuel Dahmen
2024	J	`jnl`	A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
2024	J	`jnl`	A branch-and-bound algorithm with growing datasets for large-scale parameter estimation. Eur. J. Oper. Res. Susanne Sass, Alexander Mitsos, Dominik Bongartz, Ian H. Bell, Nikolay I. Nikolov, Angelos Tsoukalas
2024	J	`jnl`	Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study. CoRR Jan C. Schulze, Alexander Mitsos
2024	J	`jnl`	End-to-end reinforcement learning of Koopman models for economic nonlinear model predictive control. Comput. Chem. Eng. Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen
2024	J	`jnl`	Graph Neural Networks for Surfactant Multi-Property Prediction. CoRR Christoforos Brozos, Jan G. Rittig, Sandip Bhattacharya, Elie Akanny, Christina Kohlmann, Alexander Mitsos
2024	J	`jnl`	GraphXForm: Graph transformer for computer-aided molecular design with application to extraction. CoRR Jonathan Pirnay, Jan G. Rittig, Alexander B. Wolf, Martin Grohe, Jakob Burger, Alexander Mitsos, Dominik G. Grimm
2024	J	`jnl`	Hierarchical heat transfer modeling of a continuous millireactor. Comput. Chem. Eng. Moritz J. Begall, Frank Herbstritt, Anne-Laura Sengen, Adel Mhamdi, Joachim Heck, Alexander Mitsos
2024	J	`jnl`	Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions. BMC Bioinform. Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
2024	J	`jnl`	Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. CoRR Eleni D. Koronaki, Luise F. Kaven, Johannes M. M. Faust, Ioannis G. Kevrekidis, Alexander Mitsos
2024	J	`jnl`	Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response. Comput. Chem. Eng. Sonja H. M. Germscheid, Benedikt Nilges, Niklas von der Aßen, Alexander Mitsos, Manuel Dahmen
2024	J	`jnl`	Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data. CoRR Mehmet Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen
2024	J	`jnl`	Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks. CoRR Christoforos Brozos, Jan G. Rittig, Sandip Bhattacharya, Elie Akanny, Christina Kohlmann, Alexander Mitsos
2024	J	`jnl`	Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural Networks. CoRR Christoforos Brozos, Jan G. Rittig, Elie Akanny, Sandip Bhattacharya, Christina Kohlmann, Alexander Mitsos
2024	J	`jnl`	Representative electricity price profiles for European day-ahead and intraday spot markets. CoRR Chrysanthi Papadimitriou, Jan C. Schulze, Alexander Mitsos
2024	J	`jnl`	Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization. CoRR Daniel Mayfrank, Na-Young Ahn, Alexander Mitsos, Manuel Dahmen
2024	J	`jnl`	Thermodynamics-Consistent Graph Neural Networks. CoRR Jan G. Rittig, Alexander Mitsos
2023	J	`jnl`	Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory. CoRR Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos
2023	J	`jnl`	Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis. CoRR Luise F. Kaven, Artur M. Schweidtmann, Jan Keil, Jana Israel, Nadja Wolter, Alexander Mitsos
2023	J	`jnl`	Demand response scheduling of copper production under short-term electricity price uncertainty. Comput. Chem. Eng. Sonja H. M. Germscheid, Fritz T. C. Röben, Han Sun, André Bardow, Alexander Mitsos, Manuel Dahmen
2023	J	`jnl`	End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control. CoRR Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen
2023	J	`jnl`	Geometry optimization of a continuous millireactor via CFD and Bayesian optimization. Comput. Chem. Eng. Moritz J. Begall, Artur M. Schweidtmann, Adel Mhamdi, Alexander Mitsos
2023	J	`jnl`	Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction. CoRR Jan G. Rittig, Kobi C. Felton, Alexei A. Lapkin, Alexander Mitsos
2023	J	`jnl`	Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids. Comput. Chem. Eng. Jan G. Rittig, Karim Ben Hicham, Artur M. Schweidtmann, Manuel Dahmen, Alexander Mitsos
2023	J	`jnl`	Physical pooling functions in graph neural networks for molecular property prediction. Comput. Chem. Eng. Artur M. Schweidtmann, Jan G. Rittig, Jana M. Weber, Martin Grohe, Manuel Dahmen, Kai Leonhard, Alexander Mitsos
2023	J	`jnl`	Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation. Comput. Chem. Eng. Simone Mucci, Alexander Mitsos, Dominik Bongartz
2023	J	`jnl`	Towards global parameter estimation exploiting reduced data sets. Optim. Methods Softw. Susanne Sass, Angelos Tsoukalas, Ian H. Bell, Dominik Bongartz, Jaromil Najman, Alexander Mitsos
2022	J	`jnl`	A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
2022	J	`jnl`	Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables. Math. Methods Oper. Res. Daniel Jungen, Hatim Djelassi, Alexander Mitsos
2022	J	`jnl`	Advanced feasibility cuts in decoupled cooperative optimization of power flow. Comput. Chem. Eng. Tim Varelmann, Adrian W. Lipow, Michael Baldea, Alexander Mitsos
2022	J	`jnl`	Data-Driven Nonlinear Model Reduction Using Koopman Theory: Integrated Control Form and NMPC Case Study. IEEE Control. Syst. Lett. Jan C. Schulze, Alexander Mitsos
2022	J	`jnl`	Direct single shooting for dynamic optimization of differential-algebraic equation systems with optimization criteria embedded. Comput. Chem. Eng. Tobias Ploch, Jens Deussen, Uwe Naumann, Alexander Mitsos, Ralf Hannemann-Tamás
2022	J	`jnl`	Dynamic modeling of aqueous electrolyte systems in Modelica. Comput. Chem. Eng. Andreas M. Bremen, Katharina M. Ebeling, Victor Schulte, Jan Pavsek, Alexander Mitsos
2022	J	`jnl`	Global dynamic optimization with Hammerstein-Wiener models embedded. J. Glob. Optim. Chrysoula Dimitra Kappatou, Dominik Bongartz, Jaromil Najman, Susanne Sass, Alexander Mitsos
2022	J	`jnl`	Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models. Comput. Chem. Eng. Jannik Burre, Christoph Kabatnik, Mohamed Al-Khatib, Dominik Bongartz, Andreas Jupke, Alexander Mitsos
2022	J	`jnl`	Graph Machine Learning for Design of High-Octane Fuels. CoRR Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Stefanie Winkler, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, Martin Grohe, Alexander Mitsos, Manuel Dahmen
2022	J	`jnl`	Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids. CoRR Jan G. Rittig, Karim Ben Hicham, Artur M. Schweidtmann, Manuel Dahmen, Alexander Mitsos
2022	J	`jnl`	Graph neural networks for the prediction of molecular structure-property relationships. CoRR Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann
2022	J	`jnl`	HybridML: Open source platform for hybrid modeling. Comput. Chem. Eng. Kilian Merkelbach, Artur M. Schweidtmann, Younes Müller, Patrick Schwoebel, Adel Mhamdi, Alexander Mitsos, Andreas Schuppert, Thomas Mrziglod, Sebastian Schneckener
2022	J	`jnl`	Identification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning. CoRR Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos
2022	J	`jnl`	Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning. Comput. Chem. Eng. Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos
2022	J	`jnl`	Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows. CoRR Eike Cramer, Dirk Witthaut, Alexander Mitsos, Manuel Dahmen
2022	J	`jnl`	Nonlinear Isometric Manifold Learning for Injective Normalizing Flows. CoRR Eike Cramer, Felix Rauh, Alexander Mitsos, Raúl Tempone, Manuel Dahmen
2022	J	`jnl`	Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators. CoRR Eike Cramer, Leonard Paeleke, Alexander Mitsos, Manuel Dahmen
2022	J	`jnl`	Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators. Comput. Chem. Eng. Eike Cramer, Leonard Paeleke, Alexander Mitsos, Manuel Dahmen
2022	J	`jnl`	Optimal Eco-Routing for Hybrid Vehicles With Powertrain Model Embedded. IEEE Trans. Intell. Transp. Syst. Adrian Caspari, Steffen Fahr, Alexander Mitsos
2022	J	`jnl`	Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction. CoRR Artur M. Schweidtmann, Jan G. Rittig, Jana M. Weber, Martin Grohe, Manuel Dahmen, Kai Leonhard, Alexander Mitsos
2022	J	`jnl`	Satisfaction of path chance constraints in dynamic optimization problems. Comput. Chem. Eng. Eduardo S. Schultz, Simon Olofsson, Adel Mhamdi, Alexander Mitsos
2022	J	`jnl`	Simultaneous deterministic global flowsheet optimization and heat integration: Comparison of formulations. Comput. Chem. Eng. Steffen Fahr, Alexander Mitsos, Dominik Bongartz
2022	J	`jnl`	Simultaneous optimization of design and operation of an air-cooled geothermal ORC under consideration of multiple operating points. Comput. Chem. Eng. Marco Langiu, Manuel Dahmen, Alexander Mitsos
2022	J	`jnl`	Simultaneously optimizing bidding strategy in pay-as-bid-markets and production scheduling. Comput. Chem. Eng. Tim Varelmann, Nils Erwes, Pascal Schäfer, Alexander Mitsos
2022	J	`jnl`	Validation Methods for Energy Time Series Scenarios From Deep Generative Models. IEEE Access Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen
2021	J	`jnl`	COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization. Comput. Chem. Eng. Marco Langiu, David Yang Shu, Florian Joseph Baader, Dominik Hering, Uwe Bau, André Xhonneux, Dirk Müller, André Bardow, Alexander Mitsos, Manuel Dahmen
2021	J	`jnl`	Design of Dynamic Experiments for Black-Box Model Discrimination. CoRR Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener
2021	J	`jnl`	Deterministic global optimization with Gaussian processes embedded. Math. Program. Comput. Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromil Najman, Alexander Mitsos
2021	J	`jnl`	Global Solution of Semi-infinite Programs with Existence Constraints. J. Optim. Theory Appl. Hatim Djelassi, Alexander Mitsos
2021	J	`jnl`	Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb. Frontiers Bioinform. Ulf W. Liebal, Sebastian Köbbing, Linus Netze, Artur M. Schweidtmann, Alexander Mitsos, Lars M. Blank
2021	J	`jnl`	Linearization of McCormick relaxations and hybridization with the auxiliary variable method. J. Glob. Optim. Jaromil Najman, Dominik Bongartz, Alexander Mitsos
2021	J	`jnl`	Nonlinear model predictive control of ultra-high-purity air separation units using transient wave propagation model. Comput. Chem. Eng. Jan C. Schulze, Adrian Caspari, Christoph Offermanns, Adel Mhamdi, Alexander Mitsos
2021	J	`jnl`	Principal Component Density Estimation for Scenario Generation Using Normalizing Flows. CoRR Eike Cramer, Alexander Mitsos, Raúl Tempone, Manuel Dahmen
2021	J	`jnl`	Process systems engineering - Comput. Chem. Eng. Efstratios N. Pistikopoulos, Ana Barbosa-Póvoa, Jay H. Lee, Ruth Misener, Alexander Mitsos, Gintaras V. Reklaitis, Venkat Venkatasubramanian, Fengqi You, Rafiqul Gani
2021	J	`jnl`	Recent advances in nonconvex semi-infinite programming: Applications and algorithms. EURO J. Comput. Optim. Hatim Djelassi, Alexander Mitsos, Oliver Stein
2021	J	`jnl`	Validation Methods for Energy Time Series Scenarios from Deep Generative Models. CoRR Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen
2020	J	`jnl`	Converting networks to predictive logic models from perturbation signalling data with CellNOpt. Bioinform. Enio Gjerga, Panuwat Trairatphisan, Attila Gábor, Hermann Koch, Céline Chevalier, Franceco Ceccarelli, Aurélien Dugourd, Alexander Mitsos, Julio Saez-Rodriguez, Jonathan D. Wren
2020	J	`jnl`	Deterministic global superstructure-based optimization of an organic Rankine cycle. Comput. Chem. Eng. Wolfgang R. Huster, Artur M. Schweidtmann, Jannik T. Lüthje, Alexander Mitsos
2020	J	`jnl`	Dynamic optimization with complementarity constraints: Smoothing for direct shooting. Comput. Chem. Eng. Adrian Caspari, Lukas Lüken, Pascal Schäfer, Yannic Vaupel, Adel Mhamdi, Lorenz T. Biegler, Alexander Mitsos
2020	J	`jnl`	Global Optimization of Gaussian processes. CoRR Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromil Najman, Alexander Mitsos
2020	J	`jnl`	Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization. Autom. Eduardo S. Schultz, Ralf Hannemann-Tamás, Alexander Mitsos
2020	J	`jnl`	Integrated design of processes and products: Optimal renewable fuels. Comput. Chem. Eng. Andrea König, Lisa Neidhardt, Jörn Viell, Alexander Mitsos, Manuel Dahmen
2020	J	`jnl`	Model compendium, data, and optimization benchmarks for sector-coupled energy systems. Comput. Chem. Eng. 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
2020	J	`jnl`	Modular modeling of electrochemical reactors: Comparison of CO Comput. Chem. Eng. Luisa C. Brée, Matthias Wessling, Alexander Mitsos
2020	J	`jnl`	Optimization-based observability analysis. Comput. Chem. Eng. Preet Joy, Adel Mhamdi, Alexander Mitsos
2020	J	`jnl`	Polynomial approximation of inequality path constraints in dynamic optimization. Comput. Chem. Eng. Eduardo S. Schultz, Ralf Hannemann-Tamás, Alexander Mitsos
2020	J	`jnl`	Quality-targeting dynamic optimization of monoclonal antibody production. Comput. Chem. Eng. Chrysoula Dimitra Kappatou, Alireza Ehsani, Sebastian Niedenführ, Adel Mhamdi, Andreas Schuppert, Alexander Mitsos
2020	J	`jnl`	Simulation of differential-algebraic equation systems with optimization criteria embedded in Modelica. Comput. Chem. Eng. Tobias Ploch, Eric von Lieres, Wolfgang Wiechert, Alexander Mitsos, Ralf Hannemann-Tamás
2020	J	`jnl`	Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices. Comput. Chem. Eng. Pascal Schäfer, Artur M. Schweidtmann, Philipp H. A. Lenz, Hannah M. C. Markgraf, Alexander Mitsos
2019	J	`jnl`	Convex relaxations of componentwise convex functions. Comput. Chem. Eng. Jaromil Najman, Dominik Bongartz, Alexander Mitsos
2019	J	`jnl`	Correction to: Optimal deterministic algorithm generation. J. Glob. Optim. Alexander Mitsos, Jaromil Najman, Ioannis G. Kevrekidis
2019	J	`jnl`	Deterministic Global Optimization with Artificial Neural Networks Embedded. J. Optim. Theory Appl. Artur M. Schweidtmann, Alexander Mitsos
2019	J	`jnl`	Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks. Comput. Chem. Eng. Artur M. Schweidtmann, Wolfgang R. Huster, Jannik T. Lüthje, Alexander Mitsos
2019	J	`jnl`	Discretization-based algorithms for generalized semi-infinite and bilevel programs with coupling equality constraints. J. Glob. Optim. Hatim Djelassi, Moll Glass, Alexander Mitsos
2019	J	`jnl`	Dynamic optimization of an emulsion copolymerization process for product quality using a deterministic kinetic model with embedded Monte Carlo simulations. Comput. Chem. Eng. Johannes M. M. Faust, Tomas Chaloupka, Juraj Kosek, Adel Mhamdi, Alexander Mitsos
2019	J	`jnl`	Model-based bidding strategies on the primary balancing market for energy-intense processes. Comput. Chem. Eng. Pascal Schäfer, Hermann Graf Westerholt, Artur M. Schweidtmann, Svetlina Ilieva, Alexander Mitsos
2019	J	`jnl`	On tightness and anchoring of McCormick and other relaxations. J. Glob. Optim. Jaromil Najman, Alexander Mitsos
2019	J	`jnl`	Optimal operation of dynamic (energy) systems: When are quasi-steady models adequate? Comput. Chem. Eng. Susanne Sass, Alexander Mitsos
2019	J	`jnl`	Optimization-based global structural identifiability. Comput. Chem. Eng. Preet Joy, Hatim Djelassi, Adel Mhamdi, Alexander Mitsos
2019	J	`jnl`	Relaxations of thermodynamic property and costing models in process engineering. Comput. Chem. Eng. Jaromil Najman, Dominik Bongartz, Alexander Mitsos
2019	J	`jnl`	Tighter McCormick relaxations through subgradient propagation. J. Glob. Optim. Jaromil Najman, Alexander Mitsos
2018	J	`jnl`	Bounded-error optimal experimental design via global solution of constrained min-max program. Comput. Chem. Eng. Olga Walz, Hatim Djelassi, Adrian Caspari, Alexander Mitsos
2018	J	`jnl`	Challenges in process optimization for new feedstocks and energy sources. Comput. Chem. Eng. Alexander Mitsos, Norbert Asprion, Christodoulos A. Floudas, Michael Bortz, Michael Baldea, Dominique Bonvin, Adrian Caspari, Pascal Schäfer
2018	J	`jnl`	Optimal deterministic algorithm generation. J. Glob. Optim. Alexander Mitsos, Jaromil Najman, Ioannis G. Kevrekidis
2018	J	`jnl`	Robust dynamic optimization of batch processes under parametric uncertainty: Utilizing approaches from semi-infinite programs. Comput. Chem. Eng. Jennifer Puschke, Hatim Djelassi, Johanna Kleinekorte, Ralf Hannemann-Tamás, Alexander Mitsos
2017	J	`jnl`	A hybrid discretization algorithm with guaranteed feasibility for the global solution of semi-infinite programs. J. Glob. Optim. Hatim Djelassi, Alexander Mitsos
2017	J	`jnl`	Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations. J. Glob. Optim. Dominik Bongartz, Alexander Mitsos
2017	J	`jnl`	Erratum to: Multivariate McCormick relaxations. J. Glob. Optim. Jaromil Najman, Dominik Bongartz, Angelos Tsoukalas, Alexander Mitsos
2017	J	`jnl`	Multi-model approach based on parametric sensitivities - A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties. Comput. Chem. Eng. Jennifer Puschke, Alexandr Zubov, Juraj Kosek, Alexander Mitsos
2017	J	`jnl`	Systematic approach for modeling reaction networks involving equilibrium and kinetically-limited reaction steps. Comput. Chem. Eng. Olga Walz, Caroline Marks, Jörn Viell, Alexander Mitsos
2017	J	`jnl`	Thermodynamic analysis of formulations to discriminate multiple roots of cubic equations of state in process models. Comput. Chem. Eng. Moll Glass, Alexander Mitsos
2016	J	`jnl`	Convergence analysis of multivariate McCormick relaxations. J. Glob. Optim. Jaromil Najman, Alexander Mitsos
2015	J	`jnl`	Global optimization of generalized semi-infinite programs via restriction of the right hand side. J. Glob. Optim. Alexander Mitsos, Angelos Tsoukalas
2015	Misc	`conf`	Higher-order Discrete Adjoint ODE Solver in C++ for Dynamic Optimization. ICCS Johannes Lotz, Uwe Naumann, Ralf Hannemann-Tamás, Tobias Ploch, Alexander Mitsos
2015	J	`jnl`	Local optimization of dynamic programs with guaranteed satisfaction of path constraints. Autom. Jun Fu, Johannes M. M. Faust, Benoît Chachuat, Alexander Mitsos
2014	J	`jnl`	Multivariate McCormick relaxations. J. Glob. Optim. Angelos Tsoukalas, Alexander Mitsos
2013	J	`jnl`	Convergence analysis of Taylor models and McCormick-Taylor models. J. Glob. Optim. Agustín Bompadre, Alexander Mitsos, Benoît Chachuat
2012	J	`jnl`	Convergence rate of McCormick relaxations. J. Glob. Optim. Agustín Bompadre, Alexander Mitsos
2011	J	`jnl`	Combined logical and data-driven models for linking signalling pathways to cellular response. BMC Syst. Biol. Ioannis N. Melas, Alexander Mitsos, Dimitris E. Messinis, Thomas S. Weiss, Leonidas G. Alexopoulos
2011	—	`conf`	Modeling signaling pathways in articular cartilage. EMBC Ioannis N. Melas, Aikaterini D. Chairakaki, Alexander Mitsos, Zoe Dailiana, Christopher G. Provatidis, Leonidas G. Alexopoulos
2010	J	`jnl`	Global solution of nonlinear mixed-integer bilevel programs. J. Glob. Optim. Alexander Mitsos
2009	J	`jnl`	Identifying Drug Effects via Pathway Alterations using an Integer Linear Programming Optimization Formulation on Phosphoproteomic Data. PLoS Comput. Biol. Alexander Mitsos, Ioannis N. Melas, Paraskeuas Siminelakis, Aikaterini D. Chairakaki, Julio Saez-Rodriguez, Leonidas G. Alexopoulos
2009	J	`jnl`	McCormick-Based Relaxations of Algorithms. SIAM J. Optim. Alexander Mitsos, Benoît Chachuat, Paul I. Barton
2009	J	`jnl`	Parametric mixed-integer 0-1 linear programming: The general case for a single parameter. Eur. J. Oper. Res. Alexander Mitsos, Paul I. Barton
2009	J	`jnl`	Towards global bilevel dynamic optimization. J. Glob. Optim. Alexander Mitsos, Benoît Chachuat, Paul I. Barton
2008	J	`jnl`	Global solution of bilevel programs with a nonconvex inner program. J. Glob. Optim. Alexander Mitsos, Panayiotis Lemonidis, Paul I. Barton
2008	J	`jnl`	Relaxation-Based Bounds for Semi-Infinite Programs. SIAM J. Optim. Alexander Mitsos, Panayiotis Lemonidis, Cha Kun Lee, Paul I. Barton