Identification of diffusive transport by means of an incremental approach. - André Bardow; Wolfgang Marquardt (Comput. Chem. Eng., 2004)

Optimal experimental design of ill-posed problems: The METER approach. - André Bardow (Comput. Chem. Eng., 2008)

Software supporting optimal experimental design: A case study of binary diffusion using EFCOSS. - Arno Rasch; H. Martin Bücker; André Bardow (Comput. Chem. Eng., 2009)

Identification Methods for Reaction Kinetics and Transport. - André Bardow; Wolfgang Marquardt (Encyclopedia of Optimization, 2009)

Looking for Alternatives: Optimization of Energy Supply Systems without Superstructure. - Mike Preuss; Philip Voll; André Bardow; Günter Rudolph (EvoApplications, 2014)

Computer-aided molecular design in the continuous-molecular targeting framework using group-contribution PC-SAFT. - Matthias Lampe; Marina Stavrou; Johannes Schilling; Elmar Sauer; Joachim Gross; André Bardow (Comput. Chem. Eng., 2015)

An adaptive discretization MINLP algorithm for optimal synthesis of decentralized energy supply systems. - Sebastian Goderbauer; Björn Bahl; Philip Voll; Marco E. Lübbecke; André Bardow; Arie M. C. A. Koster (Comput. Chem. Eng., 2016)

Integrated Process and Molecular Design with Modelica Using Continuous-Molecular Targeting. - Christoph Udo Gertig; Dominik Tillmanns; Johannes Schilling; Uwe Bau; Franz Lanzerath; Joachim Gross; André Bardow (Modelica, 2017)

SPREAD - Exploring the decision space in energy systems synthesis. - Maike Hennen; Matthias Lampe; Philip Voll; André Bardow (Comput. Chem. Eng., 2017)

Multi-objective synthesis of energy systems: Efficient identification of design trade-offs. - Maike Hennen; Sarah Postels; Philip Voll; Matthias Lampe; André Bardow (Comput. Chem. Eng., 2017)

Robust multi-objective optimization for sustainable design of distributed energy supply systems. - Dinah Elena Majewski; Marco Wirtz; Matthias Lampe; André Bardow (Comput. Chem. Eng., 2017)

Blending Acceptance as Additional Evaluation Parameter into Carbon Capture and Utilization Life-Cycle Analyses. - Katrin Arning; Barbara S. Zaunbrecher; André Sternberg; André Bardow; Martina Ziefle (SMARTGREENS, 2018)

Rigorous synthesis of energy systems by decomposition via time-series aggregation. - Björn Bahl; Julian Lützow; David Yang Shu; Dinah Elena Hollermann; Matthias Lampe; Maike Hennen; André Bardow (Comput. Chem. Eng., 2018)

RiSES3: Rigorous Synthesis of Energy Supply and Storage Systems via time-series relaxation and aggregation. - Nils Baumgärtner; Björn Bahl; Maike Hennen; André Bardow (Comput. Chem. Eng., 2019)

Optimal (n-1)-reliable design of distributed energy supply systems. - Dinah Elena Hollermann; Dörthe Franzisca Hoffrogge; Fabian Mayer; Maike Hennen; André Bardow (Comput. Chem. Eng., 2019)

Optimal design of integrated batch production and utility systems. - Ludger Leenders; Björn Bahl; Matthias Lampe; Maike Hennen; André Bardow (Comput. Chem. Eng., 2019)

Flexible here-and-now decisions for two-stage multi-objective optimization: Method and application to energy system design selection. - Dinah Elena Hollermann; Marc Goerigk; Dörthe Franzisca Hoffrogge; Maike Hennen; André Bardow (CoRR, 2019)

OCTP: A Tool for On-the-Fly Calculation of Transport Properties of Fluids with the Order-n Algorithm in LAMMPS. - Seyed Hossein Jamali; Ludger Wolff; Tim M. Becker; Mariëtte de Groen; Mahinder Ramdin; Remco Hartkamp; André Bardow; Thijs J. H. Vlugt; Othonas A. Moultos (J. Chem. Inf. Model., 2019)

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)

CAT-COSMO-CAMPD: Integrated in silico design of catalysts and processes based on quantum chemistry. - Christoph Udo Gertig; Lorenz Fleitmann; Carl Hemprich; Janik Hense; André Bardow; Kai Leonhard (Comput. Chem. Eng., 2021)

AutoMoG: Automated data-driven Model Generation of multi-energy systems using piecewise-linear regression. - Andreas Kämper; Ludger Leenders; Björn Bahl; André Bardow (Comput. Chem. Eng., 2021)

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)

Scheduling coordination of multiple production and utility systems in a multi-leader multi-follower Stackelberg game. - Ludger Leenders; Kirstin Ganz; Björn Bahl; Maike Hennen; Nils Baumgärtner; André Bardow (Comput. Chem. Eng., 2021)

Environmental impacts of the future German energy system from integrated energy systems optimization and dynamic life cycle assessment. - Christiane Reinert; Sarah Deutz; Hannah Minten; Lukas Dörpinghaus; Sarah von Pfingsten; Nils Baumgärtner; André Bardow (Comput. Chem. Eng., 2021)

Cost-optimal pathways towards net-zero chemicals and plastics based on a circular carbon economy. - Christian Zibunas; Raoul Meys; Arne Kätelhön; André Bardow (Comput. Chem. Eng., 2022)

A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing. - Benedikt Winter; Clemens Winter; Johannes Schilling; André Bardow (CoRR, 2022)

SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients. - Benedikt Winter; Clemens Winter; Timm Esper; Johannes Schilling; André Bardow (CoRR, 2022)

Boosting operational optimization of multi-energy systems by artificial neural nets. - Andreas Kämper; Roman Delorme; Ludger Leenders; André Bardow (Comput. Chem. Eng., 2023)

This is SpArta: Rigorous Optimization of Regionally Resolved Energy Systems by Spatial Aggregation and Decomposition. - Christiane Reinert; Benedikt Nilges; Nils Baumgärtner; André Bardow (CoRR, 2023)

Streamlining Energy Transition Scenarios to Key Policy Decisions. - Florian Joseph Baader; Stefano Moret; Wolfram Wiesemann; Iain Staffell; André Bardow (CoRR, 2023)

Demand response for flat nonlinear MIMO processes using dynamic ramping constraints. - Florian Joseph Baader; Philipp Althaus; André Bardow; Manuel Dahmen (Comput. Chem. Eng., 2023)

Design of low-carbon multi-energy systems in the SecMOD framework by combining MILP optimization and life-cycle assessment. - Christiane Reinert; Niklas Nolzen; Julia Frohmann; Dominik Tillmanns; André Bardow (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)

Integrating quantum and classical computing for multi-energy system optimization using Benders decomposition. - Ludger Leenders; Martin Sollich; Christiane Reinert; André Bardow (Comput. Chem. Eng., 2024)

Computer-aided molecular refrigerant design for adsorption chillers based on classical density functional theory and PC-SAFT. - Fabian Mayer; Lukas Spiekermann; Lisa Rueben; Philipp Rehner; Jan Seiler; Johannes Schilling; Joachim Gross; André Bardow (Comput. Chem. Eng., 2024)

The cost and climate impact of myopic investment decisions in the chemical industry. - Christian Zibunas; Raoul Meys; Arne Kätelhön; André Bardow (Comput. Chem. Eng., 2024)

Integrated design of solvent-antisolvent mixtures and crystallization processes powered by machine learning. - Luca Bosetti; Benedikt Winter; Johanna Lindfeld; André Bardow (Comput. Chem. Eng., 2025)

Integrated thermo-economic organic Rankine cycle and working fluid design - On the accuracy of molecular-based computer-aided methodologies. - Matthias Mersch; Dominik Tillmanns; Paul Sapin; Johannes Schilling; André Bardow; Christos N. Markides (Comput. Chem. Eng., 2025)

Where to market flexibility? Integrating continuous intraday trading into multi-market participation of industrial multi-energy systems. - Niklas Nolzen; Alissa Ganter; Nils Baumgärtner; Florian Joseph Baader; Ludger Leenders; André Bardow (Comput. Chem. Eng., 2025)

Computer-aided mixture design using molecule superstructures. - Philipp Rehner; Johannes Schilling; André Bardow (Comput. Chem. Eng., 2025)

Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start. - Yifan Wang; Lorenz Fleitmann; Lukas Raßpe-Lange; Niklas von der Aßen; André Bardow; Kai Leonhard (J. Chem. Inf. Model., 2025)

Transition pathways to electrified chemical production within sector-coupled national energy systems. - Patricia Mayer; Florian Joseph Baader; David Yang Shu; Ludger Leenders; Christian Zibunas; Stefano Moret; André Bardow (CoRR, 2025)

Identifying Dealbreakers and Robust Policies for the Energy Transition Amid Unexpected Events. - Diederik Coppitters; Gabriel Wiest; Leonard Göke; Francesco Contino; André Bardow; Stefano Moret (CoRR, 2025)

Low-regret Strategies for Energy Systems Planning in a Highly Uncertain Future. - Gabriel Wiest; Niklas Nolzen; Florian Joseph Baader; André Bardow; Stefano Moret (CoRR, 2025)