Manuel Dahmen - RankMe

43 papers Journal 42Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-Driven Conditional Flexibility Index. CoRR Moritz Wedemeyer, Eike Cramer, Alexander Mitsos, Manuel Dahmen
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`	MEmilio - A high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics. CoRR Julia Bicker, Carlotta Gerstein, David Kerkmann, Sascha Korf, René Schmieding, Anna Wendler, Henrik Zunker, Daniel Abele, Maximilian Betz, Khoa Nguyen, Lena Plötzke, Kilian Volmer, Agatha Schmidt, Nils Waßmuth, Patrick Lenz, Daniel Richter, Hannah Tritzschak, Ralf Hannemann-Tamas, Julian Litz, Paul Johannssen, Marielena Borges, Annika Jungklaus, Manuel Heger, Annalena Lange, Elisabeth Kluth, Kathrin Rack, Vincent Wieland, Jonas Arruda, Sebastian Binder, Margrit Klitz, Martin Siggel, Manuel Dahmen, Achim Basermann, Michael Meyer-Hermann, Jan Hasenauer, Martin J. Kühn
2026	J	`jnl`	Unlocking reactive power potential of industrial processes for voltage support through scheduling optimization. Comput. Chem. Eng. Philipp Glücker, Sonja H. M. Germscheid, Ariana Y. Ojeda-Paredes, Andrea Benigni, Manuel Dahmen, Thiemo Pesch
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`	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`	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`	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`	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`	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`	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`	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`	Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization. CoRR Daniel Mayfrank, Na-Young Ahn, Alexander Mitsos, Manuel Dahmen
2023	J	`jnl`	Demand response for flat nonlinear MIMO processes using dynamic ramping constraints. Comput. Chem. Eng. Florian Joseph Baader, Philipp Althaus, André Bardow, Manuel Dahmen
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`	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`	Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows. CoRR Hannes Hilger, Dirk Witthaut, Manuel Dahmen, Leonardo Rydin Gorjão, Julius Trebbien, Eike Cramer
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
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`	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	—	`conf`	Incorporating AC Power Flow into the Multi-Energy System Optimization Framework COMANDO. OSMSES Philipp Glücker, Marco Langiu, Thiemo Pesch, Manuel Dahmen, Andrea Benigni
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`	Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM J. Sci. Comput. Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
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`	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`	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`	Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. CoRR Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
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`	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`	Integrated design of processes and products: Optimal renewable fuels. Comput. Chem. Eng. Andrea König, Lisa Neidhardt, Jörn Viell, Alexander Mitsos, Manuel Dahmen