TY - JOUR A1 - Sherratt, Katharine A1 - Srivastava, Ajitesh A1 - Ainslie, Kylie A1 - Singh, David E. A1 - Cublier, Aymar A1 - Marinescu, Maria Cristina A1 - Carretero, Jesus A1 - Garcia, Alberto Cascajo A1 - Franco, Nicolas A1 - Willem, Lander A1 - Abrams, Steven A1 - Faes, Christel A1 - Beutels, Philippe A1 - Hens, Niel A1 - Müller, Sebastian A1 - Charlton, Billy A1 - Ewert, Ricardo A1 - Paltra, Sydney A1 - Rakow, Christian A1 - Rehmann, Jakob A1 - Conrad, Tim A1 - Schütte, Christof A1 - Nagel, Kai A1 - Abbott, Sam A1 - Grah, Rok A1 - Niehus, Rene A1 - Prasse, Bastian A1 - Sandmann, Frank A1 - Funk, Sebastian T1 - Characterising information gains and losses when collecting multiple epidemic model outputs JF - Epidemics N2 - Collaborative comparisons and combinations of epidemic models are used as policy-relevant evidence during epidemic outbreaks. In the process of collecting multiple model projections, such collaborations may gain or lose relevant information. Typically, modellers contribute a probabilistic summary at each time-step. We compared this to directly collecting simulated trajectories. We aimed to explore information on key epidemic quantities; ensemble uncertainty; and performance against data, investigating potential to continuously gain information from a single cross-sectional collection of model results. Methods We compared July 2022 projections from the European COVID-19 Scenario Modelling Hub. Five modelling teams projected incidence in Belgium, the Netherlands, and Spain. We compared projections by incidence, peaks, and cumulative totals. We created a probabilistic ensemble drawn from all trajectories, and compared to ensembles from a median across each model’s quantiles, or a linear opinion pool. We measured the predictive accuracy of individual trajectories against observations, using this in a weighted ensemble. We repeated this sequentially against increasing weeks of observed data. We evaluated these ensembles to reflect performance with varying observed data. Results. By collecting modelled trajectories, we showed policy-relevant epidemic characteristics. Trajectories contained a right-skewed distribution well represented by an ensemble of trajectories or a linear opinion pool, but not models’ quantile intervals. Ensembles weighted by performance typically retained the range of plausible incidence over time, and in some cases narrowed this by excluding some epidemic shapes. Conclusions. We observed several information gains from collecting modelled trajectories rather than quantile distributions, including potential for continuously updated information from a single model collection. The value of information gains and losses may vary with each collaborative effort’s aims, depending on the needs of projection users. Understanding the differing information potential of methods to collect model projections can support the accuracy, sustainability, and communication of collaborative infectious disease modelling efforts. Data availability All code and data available on Github: https://github.com/covid19-forecast-hub-europe/aggregation-info-loss KW - Virology KW - Infectious Diseases KW - Public Health, Environmental and Occupational Health KW - Microbiology KW - Parasitology KW - Epidemiology Y1 - 2024 U6 - https://doi.org/10.1016/j.epidem.2024.100765 SN - 1755-4365 VL - 47 PB - Elsevier BV ER - TY - JOUR A1 - Martin, Alex A1 - Müller, J. A1 - Pape, S. A1 - Peter, A. A1 - Pokutta, Sebastian A1 - Winter, T. T1 - Pricing and clearing combinatorial markets with singleton and swap orders JF - Mathematical Methods of Operations Research Y1 - 2017 VL - 85 IS - 2 SP - 155 EP - 177 ER - TY - JOUR A1 - Martin, Alexander A1 - Müller, J. A1 - Pokutta, Sebastian T1 - Strict linear prices in non-convex European day-ahead electricity markets JF - Optimization Methods and Software Y1 - 2014 UR - http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1660528 N1 - Additional Note: 10.1080/10556788.2013.823544 N1 - URL of the PDF: http://dx.doi.org/10.1080/10556788.2013.823544 VL - 29 IS - 1 SP - 189 EP - 221 ER - TY - CHAP A1 - Gesing, Sandra A1 - Grunzke, Richard A1 - Balasko, Akos A1 - Birkenheuer, Georg A1 - Blunk, Dirk A1 - Breuers, Sebastian A1 - Brinkmann, André A1 - Fels, Gregor A1 - Herres-Pawlis, Sonja A1 - Kacsuk, Peter A1 - Kozlovszky, Miklos A1 - Krüger, Jens A1 - Packschies, Lars A1 - Schäfer, Patrick A1 - Schuller, Bernd A1 - Schuster, Johannes A1 - Steinke, Thomas A1 - Szikszay Fabri, Anna A1 - Wewior, Martin A1 - Müller-Pfefferkorn, Ralph A1 - Kohlbacher, Oliver T1 - Granular Security for a Science Gateway in Structural Bioinformatics T2 - Proc. IWSG-Life 2011 Y1 - 2011 ER - TY - CHAP A1 - Birkenheuer, Georg A1 - Blunk, Dirk A1 - Breuers, Sebastian A1 - Brinkmann, Andre A1 - Fels, Gregor A1 - Gesing, Sandra A1 - Grunzke, Richard A1 - Herres-Pawlis, Sonja A1 - Kohlbacher, Oliver A1 - Krüger, Jens A1 - Lang, Ulrich A1 - Packschies, Lars A1 - Müller-Pfefferkorn, Ralph A1 - Schäfer, Patrick A1 - Schuster, Johannes A1 - Steinke, Thomas A1 - Warzecha, Klaus Dieter A1 - Wewior, Martin T1 - MoSGrid: Progress of Workflow driven Chemical Simulations T2 - Proc. of Grid Workflow Workshop 2011, Cologne, Germany Y1 - 2011 UR - http://CEUR-WS.org/Vol-826/paper02.pdf VL - 826 PB - CEUR Workshop Proceedings ER - TY - JOUR A1 - Birkenheuer, Georg A1 - Blunk, Dirk A1 - Breuers, Sebastian A1 - Brinkmann, Andre A1 - dos Santos Vieira, Ines A1 - Fels, Gregor A1 - Gesing, Sandra A1 - Grunzke, Richard A1 - Herres-Pawlis, Sonja A1 - Kohlbacher, Oliver A1 - Krüger, Jens A1 - Lang, Ulrich A1 - Packschies, Lars A1 - Müller-Pfefferkorn, Ralph A1 - Schäfer, Patrick A1 - Schmalz, Hans-Günther A1 - Steinke, Thomas A1 - Warzecha, Klaus Dieter A1 - Wewior, Martin T1 - A Molecular Simulation Grid as new tool for Computational Chemistry, Biology and Material Science JF - Journal of Cheminformatics 2011 Y1 - 2011 UR - http://www.jcheminf.com/content/3/S1/P14 U6 - https://doi.org/10.1186/1758-2946-3-S1-P14 VL - 3 IS - Suppl 1 ER - TY - CHAP A1 - Gesing, Sandra A1 - Kacsuk, Peter A1 - Kozlovszky, Miklos A1 - Birkenheuer, Georg A1 - Blunk, Dirk A1 - Breuers, Sebastian A1 - Brinkmann, Andre A1 - Fels, Gregor A1 - Grunzke, Richard A1 - Herres-Pawlis, Sonja A1 - Krüger, Jens A1 - Packschies, Lars A1 - Müller-Pfefferkorn, Ralph A1 - Schäfer, Patrick A1 - Steinke, Thomas A1 - Szikszay Fabri, Anna A1 - Warzecha, Klaus Dieter A1 - Wewior, Martin A1 - Kohlbacher, Oliver T1 - A Science Gateway for Molecular Simulations T2 - EGI (European Grid Infrastructure) User Forum 2011, Book of Abstracts Y1 - 2011 SP - 94 EP - 95 ER - TY - JOUR A1 - Birkenheuer, Georg A1 - Blunk, Dirk A1 - Breuers, Sebastian A1 - Brinkmann, André A1 - dos Santos Vieira, Ines A1 - Fels, Gregor A1 - Gesing, Sandra A1 - Grunzke, Richard A1 - Herres-Pawlis, Sonja A1 - Kohlbacher, Oliver A1 - Krüger, Jens A1 - Lang, Ulrich A1 - Packschies, Lars A1 - Müller-Pfefferkorn, Ralph A1 - Schäfer, Patrick A1 - Steinke, Thomas A1 - Warzecha, Klaus Dieter A1 - Wewior, Martin T1 - MoSGrid: efficient data management and a standardized data exchange format for molecular simulations in a grid environment JF - Journal of Cheminformatics Y1 - 2012 UR - http://www.jcheminf.com/content/4/S1/P21 U6 - https://doi.org/10.1186/1758-2946-4-S1-P21 VL - 4 IS - Suppl 1 SP - 21 ER - TY - JOUR A1 - Gesing, Sandra A1 - Grunzke, Richard A1 - Krüger, Jens A1 - Birkenheuer, Georg A1 - Wewior, Martin A1 - Schäfer, Patrick A1 - Schuller, Bernd A1 - Schuster, Johannes A1 - Herres-Pawlis, Sonja A1 - Breuers, Sebastian A1 - Balasko, Akos A1 - Kozlovszky, Miklos A1 - Szikszay Fabri, Anna A1 - Packschies, Lars A1 - Kacsuk, Peter A1 - Blunk, Dirk A1 - Steinke, Thomas A1 - Brinkmann, André A1 - Fels, Gregor A1 - Müller-Pfefferkorn, Ralph A1 - Jäkel, René A1 - Kohlbacher, Oliver T1 - A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics JF - Journal of Grid Computing Y1 - 2012 ER - TY - CHAP A1 - Grunzke, Richard A1 - Birkenheuer, Georg A1 - Blunk, Dirk A1 - Breuers, Sebastian A1 - Brinkmann, André A1 - Gesing, Sandra A1 - Herres-Pawlis, Sonja A1 - Kohlbacher, Oliver A1 - Krüger, Jens A1 - Kruse, Martin A1 - Müller-Pfefferkorn, Ralph A1 - Schäfer, Patrick A1 - Schuller, Bernd A1 - Steinke, Thomas A1 - Zink, Andreas T1 - A Data Driven Science Gateway for Computational Workflows T2 - Proceedings of the UNICORE Summit Y1 - 2012 CY - Dresden, Germany ER - TY - CHAP A1 - Martin, Alexander A1 - Müller, J. A1 - Pokutta, Sebastian T1 - On clearing coupled day-ahead electricity markets T2 - Proceedings of 23rd Australasian Finance and Banking Conference Y1 - 2010 UR - http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1660528 N1 - Additional Note: doi:10.1080/10556788.2013.823544 ER - TY - CHAP A1 - Müller, Jan A1 - Götschel, Sebastian A1 - Weiser, Martin A1 - Maierhofer, Christiane T1 - Thermografie mit optimierter Anregung für die quantitative Untersuchung von Delaminationen in kohlenstofffaserverstärkten Kunststoffen T2 - NDT.net Proc. DGZfP 2017 N2 - Da kohlenstofffaserverstärkte Kunststoffe (CFK) in anspruchsvollen sicherheitsrelevanten Einsatzgebieten wie im Automobilbau und in der Luftfahrt eingesetzt werden, besteht ein zunehmender Bedarf an zerstörungsfreien Prüfmethoden. Ziel ist die Gewährleistung der Sicherheit und Zuverlässigkeit der eingesetzten Bauteile. Aktive Thermografieverfahren ermöglichen die effiziente Prüfung großer Flächen mit hoher Auflösung in wenigen Arbeitsschritten. Ein wichtiges Teilgebiet der Prüfungen ist die Ortung und Charakterisierung von Delaminationen, die sowohl bereits in der Fertigung als auch während der Nutzung eines Bauteils auftreten können, und dessen strukturelle Integrität schwächen. ;In diesem Beitrag werden CFK-Strukturen mit künstlichen und natürlichen Delaminationen mit Hilfe unterschiedlich zeitlich modulierter Strahlungsquellen experimentell untersucht. Verwendet werden dabei Anregungen mit Blitzlampen und mit frequenzmodulierten Halogenlampen. Mittels Filterfunktionen im Zeit- und Frequenzbereich wird das Kontrast-zu-Rausch-Verhältnis (CNR) der detektierten Fehlstellen optimiert. Verglichen werden anschließend die Nachweisempfindlichkeit, das CNR und die Ortsauflösung der zu charakterisierenden Delaminationen für die unterschiedlichen Anregungs- und Auswertungstechniken. Ergänzt werden die Experimente durch numerische Simulationen des dreidimensionalen Wärmetransportes. Y1 - 2017 ER - TY - JOUR A1 - Wulkow, Hanna A1 - Conrad, Tim A1 - Djurdjevac Conrad, Natasa A1 - Müller, Sebastian A. A1 - Nagel, Kai A1 - Schütte, Christof T1 - Prediction of Covid-19 spreading and optimal coordination of counter-measures: From microscopic to macroscopic models to Pareto fronts JF - PLOS One Y1 - 2021 U6 - https://doi.org/10.1371/journal.pone.0249676 VL - 16 IS - 4 PB - Public Library of Science ER - TY - GEN A1 - Birkenheuer, Georg A1 - Blunk, Dirk A1 - Breuers, Sebastian A1 - Brinkmann, André A1 - d. Santos Vieira, I. A1 - Fels, Gregor A1 - Gesing, Sandra A1 - Grunzke, Richard A1 - Herres-Pawlis, Sonja A1 - Kohlbacher, Oliver A1 - Kruber, Nico A1 - Krüger, Jens A1 - Lang, U. A1 - Packschies, Lars A1 - Müller-Pfefferkorn, Ralph A1 - Schäfer, Patrick A1 - Schmalz, Hans-Günther A1 - Steinke, Thomas A1 - Warzecha, Klaus Dieter A1 - Wewior, Martin T1 - MoSGrid – A Molecular Simulation Grid as a new tool in Computational Chemistry, Biology and Material Science T2 - 6. German Conference on Chemoinformatics Y1 - 2010 N1 - Free software session and poster ER - TY - CHAP A1 - Krüger, Jens A1 - Birkenheuer, Georg A1 - Blunk, Dirk A1 - Breuers, Sebastian A1 - Brinkmann, André A1 - Fels, Gregor A1 - Gesing, Sandra A1 - Grunzke, Richard A1 - Herres-Pawlis, Sonja A1 - Kohlbacher, Oliver A1 - Kruber, Nico A1 - Lang, U. A1 - Packschies, Lars A1 - Müller-Pfefferkorn, Ralph A1 - Schäfer, Patrick A1 - Schmalz, Hans-Günther A1 - Steinke, Thomas A1 - Warzecha, Klaus Dieter A1 - Wewior, Martin T1 - Molecular Simulation Grid T2 - 6. German Conference on Chemoinformatics Y1 - 2010 PB - Gesellschaft Deutscher Chemiker (GDCh) ER - TY - CHAP A1 - Götschel, Sebastian A1 - Maierhofer, Christiane A1 - Müller, Jan A1 - Rothbart, Nick A1 - Weiser, Martin T1 - Quantitative Defect Reconstruction in Active Thermography for Fiber-Reinforced Composites T2 - Proceedings 19th World Conference on Non-Destructive Testing (WCNDT 2016) Y1 - 2016 UR - https://www.wcndt2016.com/portals/wcndt/bb/Th4C4.pdf ER - TY - CHAP A1 - Müller, Jan A1 - Götschel, Sebastian A1 - Maierhofer, Christiane A1 - Weiser, Martin T1 - Determining the material parameters for the reconstruction of defects in carbon fiber reinforced polymers from data measured by flash thermography T2 - AIP Conference Proceedings Y1 - 2017 U6 - https://doi.org/10.1063/1.4974671 VL - 1806 ER - TY - JOUR A1 - Redemann, Stefanie A1 - Baumgart, Johannes A1 - Lindow, Norbert A1 - Shelley, Michael A1 - Nazockdast, Ehssan A1 - Kratz, Andrea A1 - Prohaska, Steffen A1 - Brugués, Jan A1 - Fürthauer, Sebastian A1 - Müller-Reichert, Thomas T1 - C. elegans chromosomes connect to centrosomes by anchoring into the spindle network JF - Nature Communications N2 - The mitotic spindle ensures the faithful segregation of chromosomes. Here we combine the first large-scale serial electron tomography of whole mitotic spindles in early C. elegans embryos with live-cell imaging to reconstruct all microtubules in 3D and identify their plus- and minus-ends. We classify them as kinetochore (KMTs), spindle (SMTs) or astral microtubules (AMTs) according to their positions, and quantify distinct properties of each class. While our light microscopy and mutant studies show that microtubules are nucleated from the centrosomes, we find only a few KMTs directly connected to the centrosomes. Indeed, by quantitatively analysing several models of microtubule growth, we conclude that minus-ends of KMTs have selectively detached and depolymerized from the centrosome. In toto, our results show that the connection between centrosomes and chromosomes is mediated by an anchoring into the entire spindle network and that any direct connections through KMTs are few and likely very transient. Y1 - 2017 U6 - https://doi.org/10.1038/ncomms15288 VL - 8 IS - 15288 ER - TY - JOUR A1 - Krüger, Jens A1 - Grunzke, Richard A1 - Gesing, Sandra A1 - Breuers, Sebastian A1 - Brinkmann, André A1 - de la Garza, Luis A1 - Kohlbacher, Oliver A1 - Kruse, Martin A1 - Nagel, Wolfgang A1 - Packschies, Lars A1 - Müller-Pfefferkorn, Ralph A1 - Schäfer, Patrick A1 - Schärfe, Charlotta A1 - Steinke, Thomas A1 - Schlemmer, Tobias A1 - Warzecha, Klaus Dieter A1 - Zink, Andreas A1 - Herres-Pawlis, Sonja T1 - The MoSGrid Science Gateway - A Complete Solution for Molecular Simulations JF - Journal of Chemical Theory and Computation Y1 - 2014 U6 - https://doi.org/10.1021/ct500159h VL - 10 IS - 6 SP - 2232 EP - 2245 ER - TY - JOUR A1 - Grunzke, Richard A1 - Breuers, Sebastian A1 - Gesing, Sandra A1 - Herres-Pawlis, Sonja A1 - Kruse, Martin A1 - Blunk, Dirk A1 - de la Garza, Luis A1 - Packschies, Lars A1 - Schäfer, Patrick A1 - Schärfe, Charlotta A1 - Schlemmer, Tobias A1 - Steinke, Thomas A1 - Schuller, Bernd A1 - Müller-Pfefferkorn, Ralph A1 - Jäkel, René A1 - Nagel, Wolfgang A1 - Atkinson, Malcolm A1 - Krüger, Jens T1 - Standards-based metadata management for molecular simulations JF - Concurrency and Computation: Practice and Experience Y1 - 2013 U6 - https://doi.org/10.1002/cpe.3116 ER - TY - GEN A1 - Götschel, Sebastian A1 - Maierhofer, Christiane A1 - Müller, Jan P. A1 - Rothbart, Nick A1 - Weiser, Martin T1 - Quantitative Defect Reconstruction in Active Thermography for Fiber-Reinforced Composites N2 - Carbon-fiber reinforced composites are becoming more and more important in the production of light-weight structures, e.g., in the automotive and aerospace industry. Thermography is often used for non-destructive testing of these products, especially to detect delaminations between different layers of the composite. In this presentation, we aim at methods for defect reconstruction from thermographic measurements of such carbon-fiber reinforced composites. The reconstruction results shall not only allow to locate defects, but also give a quantitative characterization of the defect properties. We discuss the simulation of the measurement process using finite element methods, as well as the experimental validation on flat bottom holes. Especially in pulse thermography, thin boundary layers with steep temperature gradients occurring at the heated surface need to be resolved. Here we use the combination of a 1D analytical solution combined with numerical solution of the remaining defect equation. We use the simulations to identify material parameters from the measurements. Finally, fast heuristics for reconstructing defect geometries are applied to the acquired data, and compared for their accuracy and utility in detecting different defects like back surface defects or delaminations. T3 - ZIB-Report - 16-13 KW - thermography KW - inverse problems KW - parameter identification KW - geometry identification KW - nondestructive testing Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-58374 UR - https://www.wcndt2016.com/portals/wcndt/bb/Th4C4.pdf SN - 1438-0064 ER - TY - JOUR A1 - Müller, Sebastian A1 - Paltra, Sydney A1 - Rehmann, Jakob A1 - Nagel, Kai A1 - Conrad, Tim T1 - Explicit modeling of antibody levels for infectious disease simulations in the context of SARS-CoV-2 JF - iScience N2 - Measurable levels of immunoglobulin G antibodies develop after infections with and vaccinations against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). These antibody levels are dynamic: due to waning, antibody levels will drop over time. During the COVID-19 pandemic, multiple models predicting infection dynamics were used by policymakers to support the planning of public health policies. Explicitly integrating antibody and waning effects into the models is crucial for reliable calculations of individual infection risk. However, only few approaches have been suggested that explicitly treat these effects. This paper presents a methodology that explicitly models antibody levels and the resulting protection against infection for individuals within an agent-based model. The model was developed in response to the complexity of different immunization sequences and types and is based on neutralization titer studies. This approach allows complex population studies with explicit antibody and waning effects. We demonstrate the usefulness of our model in two use cases. Y1 - 2023 U6 - https://doi.org/10.1016/j.isci.2023.107554 VL - 26 IS - 9 ER - TY - GEN A1 - Maher, Stephen J. A1 - Fischer, Tobias A1 - Gally, Tristan A1 - Gamrath, Gerald A1 - Gleixner, Ambros A1 - Gottwald, Robert Lion A1 - Hendel, Gregor A1 - Koch, Thorsten A1 - Lübbecke, Marco A1 - Miltenberger, Matthias A1 - Müller, Benjamin A1 - Pfetsch, Marc A1 - Puchert, Christian A1 - Rehfeldt, Daniel A1 - Schenker, Sebastian A1 - Schwarz, Robert A1 - Serrano, Felipe A1 - Shinano, Yuji A1 - Weninger, Dieter A1 - Witt, Jonas T. A1 - Witzig, Jakob T1 - The SCIP Optimization Suite 4.0 N2 - The SCIP Optimization Suite is a powerful collection of optimization software that consists of the branch-cut-and-price framework and mixed-integer programming solver SCIP, the linear programming solver SoPlex, the modeling language Zimpl, the parallelization framework UG, and the generic branch-cut-and-price solver GCG. Additionally, it features the extensions SCIP-Jack for solving Steiner tree problems, PolySCIP for solving multi-objective problems, and SCIP-SDP for solving mixed-integer semidefinite programs. The SCIP Optimization Suite has been continuously developed and has now reached version 4.0. The goal of this report is to present the recent changes to the collection. We not only describe the theoretical basis, but focus on implementation aspects and their computational consequences. T3 - ZIB-Report - 17-12 Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-62170 SN - 1438-0064 ER - TY - GEN A1 - Gamrath, Gerald A1 - Fischer, Tobias A1 - Gally, Tristan A1 - Gleixner, Ambros A1 - Hendel, Gregor A1 - Koch, Thorsten A1 - Maher, Stephen J. A1 - Miltenberger, Matthias A1 - Müller, Benjamin A1 - Pfetsch, Marc A1 - Puchert, Christian A1 - Rehfeldt, Daniel A1 - Schenker, Sebastian A1 - Schwarz, Robert A1 - Serrano, Felipe A1 - Shinano, Yuji A1 - Vigerske, Stefan A1 - Weninger, Dieter A1 - Winkler, Michael A1 - Witt, Jonas T. A1 - Witzig, Jakob T1 - The SCIP Optimization Suite 3.2 N2 - The SCIP Optimization Suite is a software toolbox for generating and solving various classes of mathematical optimization problems. Its major components are the modeling language ZIMPL, the linear programming solver SoPlex, the constraint integer programming framework and mixed-integer linear and nonlinear programming solver SCIP, the UG framework for parallelization of branch-and-bound-based solvers, and the generic branch-cut-and-price solver GCG. It has been used in many applications from both academia and industry and is one of the leading non-commercial solvers. This paper highlights the new features of version 3.2 of the SCIP Optimization Suite. Version 3.2 was released in July 2015. This release comes with new presolving steps, primal heuristics, and branching rules within SCIP. In addition, version 3.2 includes a reoptimization feature and improved handling of quadratic constraints and special ordered sets. SoPlex can now solve LPs exactly over the rational number and performance improvements have been achieved by exploiting sparsity in more situations. UG has been tested successfully on 80,000 cores. A major new feature of UG is the functionality to parallelize a customized SCIP solver. GCG has been enhanced with a new separator, new primal heuristics, and improved column management. Finally, new and improved extensions of SCIP are presented, namely solvers for multi-criteria optimization, Steiner tree problems, and mixed-integer semidefinite programs. T3 - ZIB-Report - 15-60 KW - mixed-integer linear and nonlinear programming KW - MIP solver KW - MINLP solver KW - linear programming KW - LP solver KW - simplex method KW - modeling KW - parallel branch-and-bound KW - branch-cut-and-price framework KW - generic column generation KW - Steiner tree solver KW - multi-criteria optimization KW - mixed-integer semidefinite programming Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-57675 SN - 1438-0064 ER - TY - JOUR A1 - Kadow, Christopher A1 - Illing, Sebastian A1 - Kunst, Oliver A1 - Rust, Henning A1 - Pohlmann, Holger A1 - Müller, Wolfgang A. A1 - Cubasch, Ulrich T1 - Evaluation of forecasts by accuracy and spread in the MiKlip decadal climate prediction system JF - Meteorologische Zeitschrift N2 - We present the evaluation of temperature and precipitation forecasts obtained with the MiKlip decadal climate prediction system. These decadal hindcast experiments are verified with respect to the accuracy of the ensemble mean and the ensemble spread as a representative for the forecast uncertainty. The skill assessment follows the verification framework already used by the decadal prediction community, but enhanced with additional evaluation techniques like the logarithmic ensemble spread score. The core of the MiKlip system is the coupled Max Planck Institute Earth System Model. An ensemble of 10 members is initialized annually with ocean and atmosphere reanalyses of the European Centre for Medium-Range Weather Forecasts. For assessing the effect of the initialization, we compare these predictions to uninitialized climate projections with the same model system. Initialization improves the accuracy of temperature and precipitation forecasts in year 1, particularly in the Pacific region. The ensemble spread well represents the forecast uncertainty in lead year 1, except in the tropics. This estimate of prediction skill creates confidence in the respective 2014 forecasts, which depict less precipitation in the tropics and a warming almost everywhere. However, large cooling patterns appear in the Northern Hemisphere, the Pacific South America and the Southern Ocean. Forecasts for 2015 to 2022 show even warmer temperatures than for 2014, especially over the continents. The evaluation of lead years 2 to 9 for temperature shows skill globally with the exception of the eastern Pacific. The ensemble spread can again be used as an estimate of the forecast uncertainty in many regions: It improves over the tropics compared to lead year 1. Due to a reduction of the conditional bias, the decadal predictions of the initialized system gain skill in the accuracy compared to the uninitialized simulations in the lead years 2 to 9. Furthermore, we show that increasing the ensemble size improves the MiKlip decadal climate prediction system for all lead years. Y1 - 2016 U6 - https://doi.org/10.1127/metz/2015/0639 VL - 25 IS - 6 SP - 631 EP - 643 ER - TY - JOUR A1 - Gonnermann-Müller, Jana A1 - Haase, Jennifer A1 - Leins, Nicolas A1 - Igel, Moritz A1 - Fackeldey, Konstantin A1 - Pokutta, Sebastian T1 - FACET: Multi-Agent AI Supporting Teachers in Scaling Differentiated Learning for Diverse Students JF - arXiv N2 - Classrooms are becoming increasingly heterogeneous, comprising learners with diverse performance and motivation levels, language proficiencies, and learning differences such as dyslexia and ADHD. While teachers recognize the need for differentiated instruction, growing workloads create substantial barriers, making differentiated instruction an ideal that is often unrealized in practice. Current AI educational tools, which promise differentiated materials, are predominantly student-facing and performance-centric, ignoring other aspects that shape learning outcomes. We introduce FACET, a teacher-facing multi-agent framework designed to address these gaps by supporting differentiation that accounts for motivation, performance, and learning differences. Developed with educational stakeholders from the outset, the framework coordinates four specialized agents, including learner simulation, diagnostic assessment, material generation, and evaluation within a teacher-in-the-loop design. School principals (N = 30) shaped system requirements through participatory workshops, while in-service K-12 teachers (N = 70) evaluated material quality. Mixed-methods evaluation demonstrates strong perceived value for inclusive differentiation. Practitioners emphasized both the urgent need arising from classroom heterogeneity and the importance of maintaining pedagogical autonomy as a prerequisite for adoption. We discuss implications for future school deployment and outline partnerships for longitudinal classroom implementation. Y1 - 2026 U6 - https://doi.org/https://arxiv.org/abs/2601.22788 ER - TY - JOUR A1 - Gonnermann-Müller, Jana A1 - Haase, Jennifer A1 - Fackeldey, Konstantin A1 - Pokutta, Sebastian T1 - FACET: Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets N2 - The increasing heterogeneity of student populations poses significant challenges for teachers, particularly in mathematics education, where cognitive, motivational, and emotional differences strongly influence learning outcomes. While AI-driven personalization tools have emerged, most remain performance-focused, offering limited support for teachers and neglecting broader pedagogical needs. This paper presents the FACET framework, a teacher-facing, large language model (LLM)-based multi-agent system designed to generate individualized classroom materials that integrate both cognitive and motivational dimensions of learner profiles. The framework comprises three specialized agents: (1) learner agents that simulate diverse profiles incorporating topic proficiency and intrinsic motivation, (2) a teacher agent that adapts instructional content according to didactical principles, and (3) an evaluator agent that provides automated quality assurance. We tested the system using authentic grade 8 mathematics curriculum content and evaluated its feasibility through a) automated agent-based assessment of output quality and b) exploratory feedback from K-12 in-service teachers. Results from ten internal evaluations highlighted high stability and alignment between generated materials and learner profiles, and teacher feedback particularly highlighted structure and suitability of tasks. The findings demonstrate the potential of multi-agent LLM architectures to provide scalable, context-aware personalization in heterogeneous classroom settings, and outline directions for extending the framework to richer learner profiles and real-world classroom trials. Y1 - 2025 ER -