@article{MuellerVeggian1980, author = {M{\"u}ller-Veggian, Mattea}, title = {Investigation of the preequilibrium reaction mechanism through the study of the isomer ratios ²¹¹,²¹² Po}, series = {Annual report 1979 / Kernforschungsanlage J{\"u}lich Institut f{\"u}r Kernphysik / Hrsg.: A. F{\"a}ssler. - (Spezielle Berichte der Kernforschungsanlage J{\"u}lich ; 72)}, journal = {Annual report 1979 / Kernforschungsanlage J{\"u}lich Institut f{\"u}r Kernphysik / Hrsg.: A. F{\"a}ssler. - (Spezielle Berichte der Kernforschungsanlage J{\"u}lich ; 72)}, publisher = {Verlag des Forschungszentrums J{\"u}lich}, address = {J{\"u}lich}, pages = {32}, year = {1980}, language = {en} } @article{MuellerVeggian1982, author = {M{\"u}ller-Veggian, Mattea}, title = {High-spin level structure of ¹³³ La}, series = {Annual report 1981 / Kernforschungsanlage J{\"u}lich Institut f{\"u}r Kernphysik / Hrsg.: F. Gr{\"u}mmer. - (Spezielle Berichte der Kernforschungsanlage J{\"u}lich ; 146)}, journal = {Annual report 1981 / Kernforschungsanlage J{\"u}lich Institut f{\"u}r Kernphysik / Hrsg.: F. Gr{\"u}mmer. - (Spezielle Berichte der Kernforschungsanlage J{\"u}lich ; 146)}, publisher = {Kernforschungsanlage}, address = {J{\"u}lich}, pages = {51}, year = {1982}, language = {en} } @inproceedings{MuellerAbdelrazeqBraunerCaleroValdezetal.2018, author = {M{\"u}ller-Abdelrazeq, Sarah Luisa and Brauner, Philipp and Calero Valdez, Andr{\´e} and Jansen, Ulrich and Platte, Laura and Schaar, Anne-Kathrin and Steuer-Dankert, Linda and Zachow, Sebastian and Sch{\"o}nefeld, Kathrin and Haberstroh, Max and Leicht-Scholten, Carmen and Ziefle, Martina}, title = {Interdisciplinary cooperation management in research clusters: a review of twelve years.}, series = {Proceedings of the 15th International Conference on Intellectual Capital, Knowledge Management \& Organisational Learning}, booktitle = {Proceedings of the 15th International Conference on Intellectual Capital, Knowledge Management \& Organisational Learning}, editor = {Pather, Shaun}, publisher = {ACPIL}, isbn = {978-1-912764-09-9}, pages = {216 -- 224}, year = {2018}, abstract = {As an interdisciplinary research network, the Cluster of Excellence "Integrative Production Technology for High-Wage Countries" (CoE) comprises of around 150 researchers. Their scientific background ranges from mechanical engineering and computer science to social sciences such as sociology and psychology. In addition to content- and methodbased challenges, the CoE's employees are faced with heterogenic organizational cultures, different hierarchical levels, an imbalanced gender distribution, and a high employee fluctuation. The sub-project Scientific Cooperation Engineering 1 (CSP1) addresses the challenge of interdisciplinary cooperation and organizational learning and aims at fostering interdisciplinarity and its synergies as a source of innovation. Therefore, the project examines means of reaching an organizational development, ranging from temporal structures to a sustainable network in production technology. To achieve this aim, a broad range of means has been developed during the last twelve years: In addition to physical measures such as regular network events and trainings, virtual measures such as the Terminology App were focused. The app is an algorithmic analysis method for uncovering latent topic structures of publications of the CoE to highlight thematic intersections and synergy potentials. The detection and promotion of has been a vital and long known element in knowledge management. Furthermore, CSP1 focusses on project management and thus developed evaluation tools to measure and control the success of interdisciplinary cooperation. In addition to the cooperation fostering measures, CSP1 conducted studies about interdisciplinarity and diversity and their relationship with innovation. The scientific background of these means and the research results of CSP1 are outlined in this paper to offer approaches for successful interdisciplinary cooperation management.}, language = {en} } @article{MuellerJungAhammer2017, author = {M{\"u}ller, Wolfram and Jung, Alexander and Ahammer, Helmut}, title = {Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example}, series = {Scientific Reports}, volume = {7}, journal = {Scientific Reports}, number = {Article number 2464}, publisher = {Springer Nature}, address = {Cham}, isbn = {2045-2322}, doi = {10.1038/s41598-017-02665-5}, pages = {1 -- 11}, year = {2017}, language = {en} } @article{MuellerBongaertsBovenbergetal.2001, author = {M{\"u}ller, Ulrike and Bongaerts, Johannes and Bovenberg, Roel and Jossek, Ralf and Kr{\"a}mer, Marco and Linnemann, J. and M{\"u}schen, S. and Ritterbecks, S. and Sprenger, G. and Wubbolts, Marcel}, title = {Metabolic engineering to produce fine chemicals in Escherichia coli}, series = {Mededelingen van de Faculteit Landbouwwetenschappen, Rijksuniversiteit Gent}, volume = {66 (3a)}, journal = {Mededelingen van de Faculteit Landbouwwetenschappen, Rijksuniversiteit Gent}, issn = {0035-533x}, pages = {215 -- 217}, year = {2001}, language = {en} } @inproceedings{MuellerSchmittLeiseetal.2021, author = {M{\"u}ller, Tim M. and Schmitt, Andreas and Leise, Philipp and Meck, Tobias and Altherr, Lena and Pelz, Peter F. and Pfetsch, Marc E.}, title = {Validation of an optimized resilient water supply system}, series = {Uncertainty in Mechanical Engineering}, booktitle = {Uncertainty in Mechanical Engineering}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-77255-0}, doi = {10.1007/978-3-030-77256-7_7}, pages = {70 -- 80}, year = {2021}, abstract = {Component failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. This is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. The test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems.}, language = {en} } @article{MuellerLeiseLorenzetal.2020, author = {M{\"u}ller, Tim M. and Leise, Philipp and Lorenz, Imke-Sophie and Altherr, Lena and Pelz, Peter F.}, title = {Optimization and validation of pumping system design and operation for water supply in high-rise buildings}, series = {Optimization and Engineering}, volume = {2021}, journal = {Optimization and Engineering}, number = {22}, publisher = {Springer}, issn = {1573-2924}, doi = {10.1007/s11081-020-09553-4}, pages = {643 -- 686}, year = {2020}, abstract = {The application of mathematical optimization methods for water supply system design and operation provides the capacity to increase the energy efficiency and to lower the investment costs considerably. We present a system approach for the optimal design and operation of pumping systems in real-world high-rise buildings that is based on the usage of mixed-integer nonlinear and mixed-integer linear modeling approaches. In addition, we consider different booster station topologies, i.e. parallel and series-parallel central booster stations as well as decentral booster stations. To confirm the validity of the underlying optimization models with real-world system behavior, we additionally present validation results based on experiments conducted on a modularly constructed pumping test rig. Within the models we consider layout and control decisions for different load scenarios, leading to a Deterministic Equivalent of a two-stage stochastic optimization program. We use a piecewise linearization as well as a piecewise relaxation of the pumps' characteristics to derive mixed-integer linear models. Besides the solution with off-the-shelf solvers, we present a problem specific exact solving algorithm to improve the computation time. Focusing on the efficient exploration of the solution space, we divide the problem into smaller subproblems, which partly can be cut off in the solution process. Furthermore, we discuss the performance and applicability of the solution approaches for real buildings and analyze the technical aspects of the solutions from an engineer's point of view, keeping in mind the economically important trade-off between investment and operation costs.}, language = {en} } @inproceedings{MuellerAltherrLeiseetal.2020, author = {M{\"u}ller, Tim M. and Altherr, Lena and Leise, Philipp and Pelz, Peter F.}, title = {Optimization of pumping systems for buildings: Experimental validation of different degrees of model detail on a modular test rig}, series = {Operations Research Proceedings 2019}, booktitle = {Operations Research Proceedings 2019}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-48438-5}, doi = {10.1007/978-3-030-48439-2_58}, pages = {481 -- 488}, year = {2020}, abstract = {Successful optimization requires an appropriate model of the system under consideration. When selecting a suitable level of detail, one has to consider solution quality as well as the computational and implementation effort. In this paper, we present a MINLP for a pumping system for the drinking water supply of high-rise buildings. We investigate the influence of the granularity of the underlying physical models on the solution quality. Therefore, we model the system with a varying level of detail regarding the friction losses, and conduct an experimental validation of our model on a modular test rig. Furthermore, we investigate the computational effort and show that it can be reduced by the integration of domain-specific knowledge.}, language = {en} } @incollection{MuellerAltherrAholaetal.2018, author = {M{\"u}ller, Tim M. and Altherr, Lena and Ahola, Marja and Schabel, Samuel and Pelz, Peter F.}, title = {Optimizing pressure screen systems in paper recycling: optimal system layout, component selection and operation}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-18499-5}, doi = {10.1007/978-3-030-18500-8_44}, pages = {355 -- 361}, year = {2018}, abstract = {Around 60\% of the paper worldwide is made from recovered paper. Especially adhesive contaminants, so called stickies, reduce paper quality. To remove stickies but at the same time keep as many valuable fibers as possible, multi-stage screening systems with several interconnected pressure screens are used. When planning such systems, suitable screens have to be selected and their interconnection as well as operational parameters have to be defined considering multiple conflicting objectives. In this contribution, we present a Mixed-Integer Nonlinear Program to optimize system layout, component selection and operation to find a suitable trade-off between output quality and yield.}, language = {en} } @inproceedings{MuellerAltherrAholaetal.2019, author = {M{\"u}ller, Tim M. and Altherr, Lena and Ahola, Marja and Schabel, Samuel and Pelz, Peter F.}, title = {Multi-Criteria optimization of pressure screen systems in paper recycling - balancing quality, yield, energy consumption and system complexity}, series = {EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization}, booktitle = {EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization}, editor = {Rodrigues, H. C.}, publisher = {Springer International Publishing}, address = {Basel}, isbn = {978-3-319-97773-7}, doi = {10.1007/978-3-319-97773-7_105}, year = {2019}, abstract = {The paper industry is the industry with the third highest energy consumption in the European Union. Using recycled paper instead of fresh fibers for papermaking is less energy consuming and saves resources. However, adhesive contaminants in recycled paper are particularly problematic since they reduce the quality of the resulting paper-product. To remove as many contaminants and at the same time obtain as many valuable fibres as possible, fine screening systems, consisting of multiple interconnected pressure screens, are used. Choosing the best configuration is a non-trivial task: The screens can be interconnected in several ways, and suitable screen designs as well as operational parameters have to be selected. Additionally, one has to face conflicting objectives. In this paper, we present an approach for the multi-criteria optimization of pressure screen systems based on Mixed-Integer Nonlinear Programming. We specifically focus on a clear representation of the trade-off between different objectives.}, language = {en} }