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Recent Submissions 

  1. High-Efficiency High-Temperature Heat Pumps with Temperature Glide 

    Widmaier, Philip Karl; Bardow, André; Roskosch, Dennis (2024)
    Conference Poster

  2. A Global Machine Learning-based Forecasting Model for Atmospheric Water Vapour sensed by Global Navigation Satellite Systems 

    Crocetti, Laura; Schartner, Matthias; Schindler, Konrad; et al. (2024)
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  3. An automated surrogate modelling approach for the uncertainty quantification of dynamical systems 

    Schär, Styfen; Marelli, Stefano; Sudret, Bruno (2024)
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  4. Exascale DNS of In-Cylinder Flows in a Laboratory Scale Engine at High Engine Speeds 

    Danciu, Bogdan A.; Frouzakis, Christos E.; Göbbert, Jens H.; et al. (2022)
    The high spatial and temporal resolution offered by Direct Numerical Simulations (DNS) enable unique insights into the effect of compression on the physical and chemical processes inside internal combustion engines (ICEs). Building upon previous work, this research aims to extend the application for DNS in real-size ICEs at previously inaccessible engine speeds. By taking advantage of GPU-based high performance computing systems, multiple ...
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  5. OptXR: Optimization of Maintenance Processes with Extended Reality and Digital Twins 

    An, Yushu; Chen, Jiaqi; Blum, Hermann; et al. (2024)
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  6. Results of the project Rail Power 

    Nold, Michael; Corman, Francesco (2024)
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  7. STABILITY: Improving railway intervention planning through digitalisation 

    Mehranfar, Hamed; Chuo, Steven Yu-Pang; Moghtadernejad, Saviz; et al. (2024)
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  8. Network Design and Evaluation for the E-bike City Vision 

    Grisiute, Ayda; Wiedemann, Nina; Raubal, Martin (2024)
    Conference Poster

  9. Safe model-based multi-agent mean-field reinforcement learning 

    Jusup, Matej; Pásztor, Barna; Janik, Tadeusz; et al. (2024)
    Conference Poster

  10. How to produce 1-butene from CO2 electroreduction? Targets from techno-economic analysis and life cycle assessment 

    Spiekermann, Lukas; Lee, Mi Gyoung; Wicks, Joshua; et al. (2024)
    Conference Poster

  11. Revealing the Recent Height Changes of the Great Aletsch Glacier Using TanDEM-X DEM Series 

    Vlieghe, Pierre-Louis; Li, Shiyi; Hajnsek, Irena (2023)
    Conference Poster

  12. Mapping Future Air Travel Demand from Open Data 

    Weinold, Michael; Arendt, Ben; Dedic, Dominik; et al. (2024)
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  13. Graphical Multi-modal Digital Twin Framework for Functioning in Elderly 

    Fuchs, Bertram; Li, Yanke; Paez-Granados, Diego (2024)
    Conference Poster

  14. Technology Assessment of Future Air Transport Systems 

    Weinold, Michael; Rohrer, Philipp; McKenna, Russell (2023)
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  15. Classical Density Functional Theory for Fast and Accurate Predictions of Adsorption Properties 

    Dufour-Décieux, Vincent; Schilling, Johannes; Rehner, Philipp; et al. (2024)
    Conference Poster

  16. A Grand Unifying Theory of Hybrid Life-Cycle Assessment 

    Weinold, Michael; Majeau-Bettez, Guillaume (2024)
    Conference Poster

  17. Translational Centre Biodiversity Conservation: Connecting Research and Practice 

    Richman, Sarah K.; Bussmann-Charran, Karen; Pärli, Rea; et al. (2024)
    Conference Poster

  18. Towards an Integrated Database for Enhanced Monitoring and Optimization of IVS Observing Programs 

    Schartner, Matthias; Schneider, Marcell; Soja, Benedikt (2024)
    The IVS oversees a diverse array of individual observing programs, managing hundreds of sessions annually. However, the analysis results and session performance statistics are currently dispersed across various files, often in disparate formats and, regrettably, some not being open access. This fragmented data landscape impedes gaining a comprehensive overview of IVS activities and imposes laborious efforts to extract and parse relevant ...
    Conference Poster

  19. Enhancing VGOS Operations: Insights from R&D Sessions and Pathways Ahead 

    Schartner, Matthias; Petrachenko, Bill; Titus, Mike; et al. (2024)
    The inception of the VGOS R&D program in 2021 marked a pivotal milestone in the evolution of VGOS. This work serves as a catalyst for an interactive discussion, providing a platform to discuss lessons learned from these sessions while charting pathways for future VGOS observations and operational integration.Our focus revolves around the outcomes gleaned from the six VGOS R&D sessions conducted in 2022. These sessions aimed at optimizing ...
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  20. Understanding Stakeholders’ Intention to Use Construction Robots: A Fuzzy-set Qualitative Comparative Analysis 

    Wu, Sihui; Walzer, Alexander N.; Kahlert, Aniko; et al. (2023)
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