Global solution of bilevel programs with a nonconvex inner program. - Alexander Mitsos; Panayiotis Lemonidis; Paul I. Barton (J. Glob. Optim., 2008)

Relaxation-Based Bounds for Semi-Infinite Programs. - Alexander Mitsos; Panayiotis Lemonidis; Cha Kun Lee; Paul I. Barton (SIAM J. Optim., 2008)

Parametric mixed-integer 0-1 linear programming: The general case for a single parameter. - Alexander Mitsos; Paul I. Barton (Eur. J. Oper. Res., 2009)

Towards global bilevel dynamic optimization. - Alexander Mitsos; Benoît Chachuat; Paul I. Barton (J. Glob. Optim., 2009)

Identifying Drug Effects via Pathway Alterations using an Integer Linear Programming Optimization Formulation on Phosphoproteomic Data. - Alexander Mitsos; Ioannis N. Melas; Paraskeuas Siminelakis; Aikaterini D. Chairakaki; Julio Saez-Rodriguez; Leonidas G. Alexopoulos (PLoS Comput. Biol., 2009)

McCormick-Based Relaxations of Algorithms. - Alexander Mitsos; Benoît Chachuat; Paul I. Barton (SIAM J. Optim., 2009)

Global solution of nonlinear mixed-integer bilevel programs. - Alexander Mitsos (J. Glob. Optim., 2010)

Modeling signaling pathways in articular cartilage. - Ioannis N. Melas; Aikaterini D. Chairakaki; Alexander Mitsos; Zoe Dailiana; Christopher G. Provatidis; Leonidas G. Alexopoulos (EMBC, 2011)

Combined logical and data-driven models for linking signalling pathways to cellular response. - Ioannis N. Melas; Alexander Mitsos; Dimitris E. Messinis; Thomas S. Weiss; Leonidas G. Alexopoulos (BMC Syst. Biol., 2011)

Convergence rate of McCormick relaxations. - Agustín Bompadre; Alexander Mitsos (J. Glob. Optim., 2012)

Convergence analysis of Taylor models and McCormick-Taylor models. - Agustín Bompadre; Alexander Mitsos; Benoît Chachuat (J. Glob. Optim., 2013)

Multivariate McCormick relaxations. - Angelos Tsoukalas; Alexander Mitsos (J. Glob. Optim., 2014)

Higher-order Discrete Adjoint ODE Solver in C++ for Dynamic Optimization. - Johannes Lotz 001; Uwe Naumann; Ralf Hannemann-Tamás; Tobias Ploch; Alexander Mitsos (ICCS, 2015)

Local optimization of dynamic programs with guaranteed satisfaction of path constraints. - Jun Fu; Johannes M. M. Faust; Benoît Chachuat; Alexander Mitsos (Autom., 2015)

Global optimization of generalized semi-infinite programs via restriction of the right hand side. - Alexander Mitsos; Angelos Tsoukalas (J. Glob. Optim., 2015)

Convergence analysis of multivariate McCormick relaxations. - Jaromil Najman; Alexander Mitsos (J. Glob. Optim., 2016)

Thermodynamic analysis of formulations to discriminate multiple roots of cubic equations of state in process models. - Moll Glass; Alexander Mitsos (Comput. Chem. Eng., 2017)

Multi-model approach based on parametric sensitivities - A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties. - Jennifer Puschke; Alexandr Zubov; Juraj Kosek; Alexander Mitsos (Comput. Chem. Eng., 2017)

Systematic approach for modeling reaction networks involving equilibrium and kinetically-limited reaction steps. - Olga Walz; Caroline Marks; Jörn Viell; Alexander Mitsos (Comput. Chem. Eng., 2017)

Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations. - Dominik Bongartz; Alexander Mitsos (J. Glob. Optim., 2017)

A hybrid discretization algorithm with guaranteed feasibility for the global solution of semi-infinite programs. - Hatim Djelassi; Alexander Mitsos (J. Glob. Optim., 2017)

Erratum to: Multivariate McCormick relaxations. - Jaromil Najman; Dominik Bongartz; Angelos Tsoukalas; Alexander Mitsos (J. Glob. Optim., 2017)

Challenges in process optimization for new feedstocks and energy sources. - Alexander Mitsos; Norbert Asprion; Christodoulos A. Floudas; Michael Bortz; Michael Baldea; Dominique Bonvin; Adrian Caspari; Pascal Schäfer (Comput. Chem. Eng., 2018)

Robust dynamic optimization of batch processes under parametric uncertainty: Utilizing approaches from semi-infinite programs. - Jennifer Puschke; Hatim Djelassi; Johanna Kleinekorte; Ralf Hannemann-Tamás; Alexander Mitsos (Comput. Chem. Eng., 2018)

Bounded-error optimal experimental design via global solution of constrained min-max program. - Olga Walz; Hatim Djelassi; Adrian Caspari; Alexander Mitsos (Comput. Chem. Eng., 2018)

Optimal deterministic algorithm generation. - Alexander Mitsos; Jaromil Najman; Ioannis G. Kevrekidis (J. Glob. Optim., 2018)

Dynamic optimization of an emulsion copolymerization process for product quality using a deterministic kinetic model with embedded Monte Carlo simulations. - Johannes M. M. Faust; Tomas Chaloupka; Juraj Kosek; Adel Mhamdi; Alexander Mitsos (Comput. Chem. Eng., 2019)

Optimization-based global structural identifiability. - Preet Joy; Hatim Djelassi; Adel Mhamdi; Alexander Mitsos (Comput. Chem. Eng., 2019)

Convex relaxations of componentwise convex functions. - Jaromil Najman; Dominik Bongartz; Alexander Mitsos (Comput. Chem. Eng., 2019)

Relaxations of thermodynamic property and costing models in process engineering. - Jaromil Najman; Dominik Bongartz; Alexander Mitsos (Comput. Chem. Eng., 2019)

Optimal operation of dynamic (energy) systems: When are quasi-steady models adequate? - Susanne Sass; Alexander Mitsos (Comput. Chem. Eng., 2019)

Model-based bidding strategies on the primary balancing market for energy-intense processes. - Pascal Schäfer; Hermann Graf Westerholt; Artur M. Schweidtmann; Svetlina Ilieva; Alexander Mitsos (Comput. Chem. Eng., 2019)

Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks. - Artur M. Schweidtmann; Wolfgang R. Huster; Jannik T. Lüthje; Alexander Mitsos (Comput. Chem. Eng., 2019)

Discretization-based algorithms for generalized semi-infinite and bilevel programs with coupling equality constraints. - Hatim Djelassi; Moll Glass; Alexander Mitsos (J. Glob. Optim., 2019)

Correction to: Optimal deterministic algorithm generation. - Alexander Mitsos; Jaromil Najman; Ioannis G. Kevrekidis (J. Glob. Optim., 2019)

On tightness and anchoring of McCormick and other relaxations. - Jaromil Najman; Alexander Mitsos (J. Glob. Optim., 2019)

Tighter McCormick relaxations through subgradient propagation. - Jaromil Najman; Alexander Mitsos (J. Glob. Optim., 2019)

Deterministic Global Optimization with Artificial Neural Networks Embedded. - Artur M. Schweidtmann; Alexander Mitsos (J. Optim. Theory Appl., 2019)

Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization. - Eduardo S. Schultz; Ralf Hannemann-Tamás; Alexander Mitsos (Autom., 2020)

Converting networks to predictive logic models from perturbation signalling data with CellNOpt. - Enio Gjerga; Panuwat Trairatphisan; Attila Gábor; Hermann Koch; Céline Chevalier; Franceco Ceccarelli; Aurélien Dugourd; Alexander Mitsos; Julio Saez-Rodriguez; Jonathan D. Wren (Bioinform., 2020)

Modular modeling of electrochemical reactors: Comparison of CO2-electolyzers. - Luisa C. Brée; Matthias Wessling; Alexander Mitsos (Comput. Chem. Eng., 2020)

Dynamic optimization with complementarity constraints: Smoothing for direct shooting. - Adrian Caspari; Lukas Lüken; Pascal Schäfer; Yannic Vaupel; Adel Mhamdi; Lorenz T. Biegler; Alexander Mitsos (Comput. Chem. Eng., 2020)

Deterministic global superstructure-based optimization of an organic Rankine cycle. - Wolfgang R. Huster; Artur M. Schweidtmann; Jannik T. Lüthje; Alexander Mitsos (Comput. Chem. Eng., 2020)

Optimization-based observability analysis. - Preet Joy; Adel Mhamdi; Alexander Mitsos (Comput. Chem. Eng., 2020)

Quality-targeting dynamic optimization of monoclonal antibody production. - Chrysoula Dimitra Kappatou; Alireza Ehsani; Sebastian Niedenführ; Adel Mhamdi; Andreas Schuppert; Alexander Mitsos (Comput. Chem. Eng., 2020)

Integrated design of processes and products: Optimal renewable fuels. - Andrea König; Lisa Neidhardt; Jörn Viell; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2020)

Simulation of differential-algebraic equation systems with optimization criteria embedded in Modelica. - Tobias Ploch; Eric von Lieres; Wolfgang Wiechert; Alexander Mitsos; Ralf Hannemann-Tamás (Comput. Chem. Eng., 2020)

Model compendium, data, and optimization benchmarks for sector-coupled energy systems. - 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 005; Alexander Mitsos (Comput. Chem. Eng., 2020)

Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices. - Pascal Schäfer; Artur M. Schweidtmann; Philipp H. A. Lenz; Hannah M. C. Markgraf; Alexander Mitsos (Comput. Chem. Eng., 2020)

Polynomial approximation of inequality path constraints in dynamic optimization. - Eduardo S. Schultz; Ralf Hannemann-Tamás; Alexander Mitsos (Comput. Chem. Eng., 2020)

Global Optimization of Gaussian processes. - Artur M. Schweidtmann; Dominik Bongartz; Daniel Grothe; Tim Kerkenhoff; Xiaopeng Lin; Jaromil Najman; Alexander Mitsos (CoRR, 2020)

COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization. - Marco Langiu; David Yang Shu; Florian Joseph Baader; Dominik Hering; Uwe Bau; André Xhonneux; Dirk Müller 005; André Bardow; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2021)

Process systems engineering - The generation next?. - 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., 2021)

Nonlinear model predictive control of ultra-high-purity air separation units using transient wave propagation model. - Jan C. Schulze; Adrian Caspari; Christoph Offermanns; Adel Mhamdi; Alexander Mitsos (Comput. Chem. Eng., 2021)

Design of Dynamic Experiments for Black-Box Model Discrimination. - Simon Olofsson; Eduardo S. Schultz; Adel Mhamdi; Alexander Mitsos; Marc Peter Deisenroth; Ruth Misener (CoRR, 2021)

Principal Component Density Estimation for Scenario Generation Using Normalizing Flows. - Eike Cramer; Alexander Mitsos; Raúl Tempone; Manuel Dahmen (CoRR, 2021)

Recent advances in nonconvex semi-infinite programming: Applications and algorithms. - Hatim Djelassi; Alexander Mitsos; Oliver Stein (EURO J. Comput. Optim., 2021)

Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb. - Ulf W. Liebal; Sebastian Köbbing; Linus Netze; Artur M. Schweidtmann; Alexander Mitsos; Lars M. Blank (Frontiers Bioinform., 2021)

Linearization of McCormick relaxations and hybridization with the auxiliary variable method. - Jaromil Najman; Dominik Bongartz; Alexander Mitsos (J. Glob. Optim., 2021)

Global Solution of Semi-infinite Programs with Existence Constraints. - Hatim Djelassi; Alexander Mitsos (J. Optim. Theory Appl., 2021)

Deterministic global optimization with Gaussian processes embedded. - Artur M. Schweidtmann; Dominik Bongartz; Daniel Grothe; Tim Kerkenhoff; Xiaopeng Lin; Jaromil Najman; Alexander Mitsos (Math. Program. Comput., 2021)

Validation Methods for Energy Time Series Scenarios From Deep Generative Models. - Eike Cramer; Leonardo Rydin Gorjão; Alexander Mitsos; Benjamin Schäfer 001; Dirk Witthaut; Manuel Dahmen (IEEE Access, 2022)

Dynamic modeling of aqueous electrolyte systems in Modelica. - Andreas M. Bremen; Katharina M. Ebeling; Victor Schulte; Jan Pavsek; Alexander Mitsos (Comput. Chem. Eng., 2022)

Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models. - Jannik Burre; Christoph Kabatnik; Mohamed Al-Khatib; Dominik Bongartz; Andreas Jupke; Alexander Mitsos (Comput. Chem. Eng., 2022)

Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators. - Eike Cramer; Leonard Paeleke; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2022)

Simultaneous deterministic global flowsheet optimization and heat integration: Comparison of formulations. - Steffen Fahr; Alexander Mitsos; Dominik Bongartz (Comput. Chem. Eng., 2022)

Simultaneous optimization of design and operation of an air-cooled geothermal ORC under consideration of multiple operating points. - Marco Langiu; Manuel Dahmen; Alexander Mitsos (Comput. Chem. Eng., 2022)

HybridML: Open source platform for hybrid modeling. - Kilian Merkelbach; Artur M. Schweidtmann; Younes Müller; Patrick Schwoebel; Adel Mhamdi; Alexander Mitsos; Andreas Schuppert; Thomas Mrziglod; Sebastian Schneckener (Comput. Chem. Eng., 2022)

Direct single shooting for dynamic optimization of differential-algebraic equation systems with optimization criteria embedded. - Tobias Ploch; Jens Deussen; Uwe Naumann; Alexander Mitsos; Ralf Hannemann-Tamás (Comput. Chem. Eng., 2022)

Satisfaction of path chance constraints in dynamic optimization problems. - Eduardo S. Schultz; Simon Olofsson; Adel Mhamdi; Alexander Mitsos (Comput. Chem. Eng., 2022)

Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning. - Jan C. Schulze; Danimir T. Doncevic; Alexander Mitsos (Comput. Chem. Eng., 2022)

Simultaneously optimizing bidding strategy in pay-as-bid-markets and production scheduling. - Tim Varelmann; Nils Erwes; Pascal Schäfer; Alexander Mitsos (Comput. Chem. Eng., 2022)

Advanced feasibility cuts in decoupled cooperative optimization of power flow. - Tim Varelmann; Adrian W. Lipow; Michael Baldea; Alexander Mitsos (Comput. Chem. Eng., 2022)

Nonlinear Isometric Manifold Learning for Injective Normalizing Flows. - Eike Cramer; Felix Rauh; Alexander Mitsos; Raúl Tempone; Manuel Dahmen (CoRR, 2022)

Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows. - Eike Cramer; Dirk Witthaut; Alexander Mitsos; Manuel Dahmen (CoRR, 2022)

Graph Machine Learning for Design of High-Octane Fuels. - Jan G. Rittig; Martin Ritzert; Artur M. Schweidtmann; Stefanie Winkler; Jana M. Weber; Philipp Morsch; K. Alexander Heufer; Martin Grohe; Alexander Mitsos; Manuel Dahmen (CoRR, 2022)

Graph neural networks for the prediction of molecular structure-property relationships. - Jan G. Rittig; Qinghe Gao; Manuel Dahmen; Alexander Mitsos; Artur M. Schweidtmann (CoRR, 2022)

Data-Driven Nonlinear Model Reduction Using Koopman Theory: Integrated Control Form and NMPC Case Study. - Jan C. Schulze; Alexander Mitsos (IEEE Control. Syst. Lett., 2022)

Global dynamic optimization with Hammerstein-Wiener models embedded. - Chrysoula Dimitra Kappatou; Dominik Bongartz; Jaromil Najman; Susanne Sass; Alexander Mitsos (J. Glob. Optim., 2022)

Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables. - Daniel Jungen; Hatim Djelassi; Alexander Mitsos (Math. Methods Oper. Res., 2022)

Optimal Eco-Routing for Hybrid Vehicles With Powertrain Model Embedded. - Adrian Caspari; Steffen Fahr; Alexander Mitsos (IEEE Trans. Intell. Transp. Syst., 2022)

Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction. - Jan G. Rittig; Kobi C. Felton; Alexei A. Lapkin; Alexander Mitsos (CoRR, 2023)

Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis. - Luise F. Kaven; Artur M. Schweidtmann; Jan Keil; Jana Israel; Nadja Wolter; Alexander Mitsos (CoRR, 2023)

Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory. - Jan C. Schulze; Danimir T. Doncevic; Nils Erwes; Alexander Mitsos (CoRR, 2023)

Software for "Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction". - Artur M. Schweidtmann; Jan G. Rittig; Jana M. Weber; Martin Grohe; Manuel Dahmen; Kai Leonhard; Alexander Mitsos (Zenodo, 2023)

Geometry optimization of a continuous millireactor via CFD and Bayesian optimization. - Moritz J. Begall; Artur M. Schweidtmann; Adel Mhamdi; Alexander Mitsos (Comput. Chem. Eng., 2023)

Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids. - Jan G. Rittig; Karim Ben Hicham; Artur M. Schweidtmann; Manuel Dahmen; Alexander Mitsos (Comput. Chem. Eng., 2023)

Physical pooling functions in graph neural networks for molecular property prediction. - Artur M. Schweidtmann; Jan G. Rittig; Jana M. Weber; Martin Grohe; Manuel Dahmen; Kai Leonhard; Alexander Mitsos (Comput. Chem. Eng., 2023)

Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation. - Simone Mucci; Alexander Mitsos; Dominik Bongartz (Comput. Chem. Eng., 2023)

Demand response scheduling of copper production under short-term electricity price uncertainty. - Sonja H. M. Germscheid; Fritz T. C. Röben; Han Sun; André Bardow; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2023)

Towards global parameter estimation exploiting reduced data sets. - Susanne Sass; Angelos Tsoukalas; Ian H. Bell; Dominik Bongartz; Jaromil Najman; Alexander Mitsos (Optim. Methods Softw., 2023)

Hierarchical heat transfer modeling of a continuous millireactor. - Moritz J. Begall; Frank Herbstritt; Anne-Laura Sengen; Adel Mhamdi; Joachim Heck; Alexander Mitsos (Comput. Chem. Eng., 2024)

Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response. - Sonja H. M. Germscheid; Benedikt Nilges; Niklas von der Aßen; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2024)

End-to-end reinforcement learning of Koopman models for economic nonlinear model predictive control. - Daniel Mayfrank; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2024)

Graph Neural Networks for Surfactant Multi-Property Prediction. - Christoforos Brozos; Jan G. Rittig; Sandip Bhattacharya; Elie Akanny; Christina Kohlmann; Alexander Mitsos (CoRR, 2024)

Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks. - Christoforos Brozos; Jan G. Rittig; Sandip Bhattacharya; Elie Akanny; Christina Kohlmann; Alexander Mitsos (CoRR, 2024)

Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. - Eleni D. Koronaki; Luise F. Kaven; Johannes M. M. Faust; Ioannis G. Kevrekidis; Alexander Mitsos (CoRR, 2024)

Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization. - Daniel Mayfrank; Na-Young Ahn; Alexander Mitsos; Manuel Dahmen (CoRR, 2024)

Representative electricity price profiles for European day-ahead and intraday spot markets. - Chrysanthi Papadimitriou; Jan C. Schulze; Alexander Mitsos (CoRR, 2024)

Thermodynamics-Consistent Graph Neural Networks. - Jan G. Rittig; Alexander Mitsos (CoRR, 2024)

GraphXForm: Graph transformer for computer-aided molecular design with application to extraction. - Jonathan Pirnay; Jan G. Rittig; Alexander B. Wolf; Martin Grohe; Jakob Burger; Alexander Mitsos; Dominik G. Grimm (CoRR, 2024)

A branch-and-bound algorithm with growing datasets for large-scale parameter estimation. - Susanne Sass; Alexander Mitsos; Dominik Bongartz; Ian H. Bell; Nikolay I. Nikolov; Angelos Tsoukalas (Eur. J. Oper. Res., 2024)

A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. - Danimir T. Doncevic; Alexander Mitsos; Yue Guo; Qianxiao Li; Felix Dietrich; Manuel Dahmen; Ioannis G. Kevrekidis (SIAM J. Sci. Comput., 2024)

Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions. - Moein E. Samadi; Hedieh Mirzaieazar; Alexander Mitsos; Andreas Schuppert (BMC Bioinform., 2024)

Predicting the temperature-dependent CMC of surfactant mixtures with graph neural networks. - Christoforos Brozos; Jan G. Rittig; Elie Akanny; Sandip Bhattacharya; Christina Kohlmann; Alexander Mitsos (Comput. Chem. Eng., 2025)

Exploring data augmentation: Multi-task methods for molecular property prediction. - Muhammad bin Javaid; Timo Gervens; Alexander Mitsos; Martin Grohe; Jan G. Rittig (Comput. Chem. Eng., 2025)

Sample-efficient reinforcement learning of Koopman eNMPC. - Daniel Mayfrank; Mehmet Velioglu; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2025)

Retrofitting Ordinary Portland cement production for reduced greenhouse gas emissions. - Ariana Y. Ojeda-Paredes; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2025)

A practical scenario generation method for electricity prices on day-ahead and intraday spot markets. - Chrysanthi Papadimitriou; Jan C. Schulze; Alexander Mitsos (Comput. Chem. Eng., 2025)

Phase stability criteria and fluid-phase equilibria in strong-electrolyte systems. - Felipe A. Perdomo; George Jackson; Alexander Mitsos; Amparo Galindo; Claire S. Adjiman (Comput. Chem. Eng., 2025)

Cost-optimal design and operation of hydrogen refueling stations with mechanical and electrochemical hydrogen compressors. - Georgia Ioanna Prokopou; Johannes M. M. Faust; Alexander Mitsos; Dominik Bongartz (Comput. Chem. Eng., 2025)

Physics-informed neural networks for dynamic process operations with limited physical knowledge and data. - Mehmet Velioglu; Song Zhai; Sophia Rupprecht; Alexander Mitsos; Andreas Jupke; Manuel Dahmen (Comput. Chem. Eng., 2025)

Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do? - Anastasia Georgiou; Daniel Jungen; Luise F. Kaven; Verena Hunstig; Constantine Frangakis; Ioannis G. Kevrekidis; Alexander Mitsos (CoRR, 2025)

Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison. - Jan C. Schulze; Alexander Mitsos (CoRR, 2025)

Accelerating Deterministic Global Optimization via GPU-parallel Interval Arithmetic. - Hongzhen Zhang; Tim Kerkenhoff; Neil Kichler; Manuel Dahmen; Alexander Mitsos; Uwe Naumann; Dominik Bongartz (CoRR, 2025)

Out-of-sample estimation for a branch-and-bound algorithm with growing datasets. - Susanne Sass; Alexander Mitsos; Nikolay I. Nikolov; Angelos Tsoukalas (J. Glob. Optim., 2025)